Triple
T7805057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Natural, Mathematical & Engineering Sciences |
E180527
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
NMES
NMES is the commonly used abbreviation for the Faculty of Natural, Mathematical & Engineering Sciences at King’s College London.
|
E694351
|
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: NMES | Statement: [Faculty of Natural, Mathematical & Engineering Sciences, hasAbbreviation, NMES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NMES Context triple: [Faculty of Natural, Mathematical & Engineering Sciences, hasAbbreviation, NMES]
-
A.
MNE
MNE is the three-letter ISO 3166-1 alpha-3 country code assigned to Montenegro.
-
B.
MNE
MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
-
C.
enMotion
enMotion is a Georgia-Pacific brand best known for its touchless paper towel and restroom dispensing systems used in commercial and public facilities.
-
D.
BCI
BCI is the investigative division of the New York State Police responsible for conducting major criminal investigations and specialized law enforcement operations across the state.
-
E.
BCI
BCI is a Quebec-based interuniversity cooperation bureau that coordinates collaboration and shared initiatives among the province’s universities.
- 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: NMES Triple: [Faculty of Natural, Mathematical & Engineering Sciences, hasAbbreviation, NMES]
Generated description
NMES is the commonly used abbreviation for the Faculty of Natural, Mathematical & Engineering Sciences at King’s College London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NMES Target entity description: NMES is the commonly used abbreviation for the Faculty of Natural, Mathematical & Engineering Sciences at King’s College London.
-
A.
MNE
MNE is the three-letter ISO 3166-1 alpha-3 country code assigned to Montenegro.
-
B.
MNE
MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
-
C.
enMotion
enMotion is a Georgia-Pacific brand best known for its touchless paper towel and restroom dispensing systems used in commercial and public facilities.
-
D.
BCI
BCI is the investigative division of the New York State Police responsible for conducting major criminal investigations and specialized law enforcement operations across the state.
-
E.
BCI
BCI is a Quebec-based interuniversity cooperation bureau that coordinates collaboration and shared initiatives among the province’s universities.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf63838b88190a085756db9ca25c4 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14439c8081908331caf450462a0e |
completed | March 31, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_69cb1638c9888190be533d55fd0b494f |
completed | March 31, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a49beb4819090532acabb9391b1 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:35 p.m.