Triple
T3678267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint John |
E78047
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object |
Carleton
Carleton was a former community or settlement that later became part of the city of Saint John, New Brunswick, Canada.
|
E379044
|
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: Carleton | Statement: [Saint John, foundedAs, Carleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carleton Context triple: [Saint John, foundedAs, Carleton]
-
A.
Carleton
Carleton is a federal electoral district in Ontario, Canada, represented in the House of Commons and encompassing parts of the rural and suburban areas around Ottawa.
-
B.
Carleton
Carleton is a surname most notably associated with the Irish writer William Carleton.
-
C.
Carleton Campus
Carleton Campus is one of Dalhousie University's campuses, located in Halifax, Nova Scotia, and home to a mix of academic, research, and student facilities.
-
D.
Concordia
Concordia is the original Latin title of the Book of Concord, the foundational collection of Lutheran confessional writings published in 1580.
-
E.
Concordia
Concordia is a significant city in the Mesopotamia region of northeastern Argentina, known for its agriculture, citrus production, and location along the Uruguay River.
- 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: Carleton Triple: [Saint John, foundedAs, Carleton]
Generated description
Carleton was a former community or settlement that later became part of the city of Saint John, New Brunswick, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carleton Target entity description: Carleton was a former community or settlement that later became part of the city of Saint John, New Brunswick, Canada.
-
A.
Carleton
Carleton is a federal electoral district in Ontario, Canada, represented in the House of Commons and encompassing parts of the rural and suburban areas around Ottawa.
-
B.
Carleton
Carleton is a surname most notably associated with the Irish writer William Carleton.
-
C.
Carleton Campus
Carleton Campus is one of Dalhousie University's campuses, located in Halifax, Nova Scotia, and home to a mix of academic, research, and student facilities.
-
D.
Concordia
Concordia is the original Latin title of the Book of Concord, the foundational collection of Lutheran confessional writings published in 1580.
-
E.
Concordia
Concordia is a municipality in the Mexican state of Sinaloa, known for its colonial architecture and traditional crafts.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a50d40819081aad0c72bcaee9d |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c451a5048190bfd4675cd17de655 |
completed | March 14, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c494ad80819084d6aa10fe62a63b |
completed | March 14, 2026, 2:14 a.m. |
Created at: March 8, 2026, 3:25 p.m.