Triple
T5821748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Gallery of Ontario |
E129124
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AGO |
E129124
|
NE FINISHED |
How this triple was built (2 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: AGO | Statement: [Art Gallery of Ontario, shortName, AGO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGO Context triple: [Art Gallery of Ontario, shortName, AGO]
-
A.
AGO
chosen
AGO is a major art museum in Toronto, Canada, renowned for its extensive collection of Canadian and international art.
-
B.
AGO
AGO is a common acronym for the Attorney General’s Office, the government body responsible for representing the state in legal matters and providing legal advice to the government.
-
C.
AGO
AGO is the founder of Aegon, a major international life insurance, pensions, and asset management company.
-
D.
AGO
AGO is the three-letter ISO 3166-1 alpha-3 country code for Angola.
-
E.
GA
GA is the commonly used abbreviation for the United Nations General Assembly, the main deliberative body of the UN where all member states are represented.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c033e7403881908f5e3fe40183865a |
completed | March 22, 2026, 6:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09856bd7881909bf6a87e0c071103 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.