Triple
T13062496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sobeys |
E329231
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | IGA (Canada) |
E1017429
|
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: IGA (Canada) | Statement: [Sobeys, owns, IGA (Canada)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IGA (Canada) Context triple: [Sobeys, owns, IGA (Canada)]
-
A.
IGA (Canada)
chosen
IGA (Canada) is a Canadian supermarket chain operating primarily in Quebec and other regions, offering a wide range of groceries and household products under the Sobeys corporate umbrella.
-
B.
IAT New Brunswick
IAT New Brunswick is a segment of the International Appalachian Trail that traverses the province of New Brunswick, Canada, showcasing its forests, rivers, and rural landscapes.
-
C.
Garneau
Garneau is a French-Canadian surname notably borne by figures such as astronaut and politician Marc Garneau.
-
D.
IGU
IGU is the IATA airport code for Foz do Iguaçu International Airport in Brazil, serving the Iguaçu Falls region.
-
E.
Iganmu
Iganmu is an area in Lagos, Nigeria, known for hosting major cultural landmarks and industrial facilities, including the National Theatre.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d6016984819097c999772db1e831 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:59 p.m.