Triple
T1098554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of British Columbia |
E24324
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Faculty of Land and Food Systems
The Faculty of Land and Food Systems is an academic division at the University of British Columbia focused on agriculture, food, nutrition, and environmental sustainability in land and food systems.
|
E125909
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Faculty of Land and Food Systems | Statement: [University of British Columbia, hasFaculty, Faculty of Land and Food Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Land and Food Systems Context triple: [University of British Columbia, hasFaculty, Faculty of Land and Food Systems]
-
A.
Faculty of Agricultural and Environmental Sciences
The Faculty of Agricultural and Environmental Sciences is a McGill University faculty specializing in education and research on agriculture, food systems, and environmental sustainability.
-
B.
Faculty of Agriculture
The Faculty of Agriculture at Kyushu University is an academic division specializing in agricultural sciences, research, and education related to food, environment, and bioresource management.
-
C.
Faculty of Agriculture
The Faculty of Agriculture at Alexandria University is an academic division specializing in agricultural sciences, education, and research to support farming, food production, and rural development.
-
D.
Faculty of Agriculture
The Faculty of Agriculture at Cairo University is an academic institution specializing in agricultural sciences, research, and education to support Egypt’s agricultural development and food production sectors.
-
E.
Faculty of Agriculture
The Faculty of Agriculture at Kindai University is an academic division specializing in agricultural sciences, research, and education related to farming, food production, and environmental sustainability.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faculty of Land and Food Systems Triple: [University of British Columbia, hasFaculty, Faculty of Land and Food Systems]
Generated description
The Faculty of Land and Food Systems is an academic division at the University of British Columbia focused on agriculture, food, nutrition, and environmental sustainability in land and food systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Land and Food Systems Target entity description: The Faculty of Land and Food Systems is an academic division at the University of British Columbia focused on agriculture, food, nutrition, and environmental sustainability in land and food systems.
-
A.
Faculty of Agricultural and Environmental Sciences
The Faculty of Agricultural and Environmental Sciences is a McGill University faculty specializing in education and research on agriculture, food systems, and environmental sustainability.
-
B.
Faculty of Agriculture
The Faculty of Agriculture at Kyushu University is an academic division specializing in agricultural sciences, research, and education related to food, environment, and bioresource management.
-
C.
Faculty of Agriculture
The Faculty of Agriculture at Alexandria University is an academic division specializing in agricultural sciences, education, and research to support farming, food production, and rural development.
-
D.
Faculty of Agriculture
The Faculty of Agriculture at the University of Tokyo is a leading academic division specializing in agricultural sciences, life sciences, and related environmental and resource studies.
-
E.
Faculty of Agriculture
The Faculty of Agriculture at Kobe University is an academic division specializing in agricultural sciences, food production, and related environmental and biological research and education.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9bd4eec819094fe09e13b7b07b8 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c449e748190883cb7b9ba103d76 |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac4cc47f808190a941b251715b4d64 |
completed | March 7, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d6650f88190b9d4ee2fd5bc2f37 |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:43 p.m.