Triple
T22461488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrefour Drive |
E555238
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Carrefour Group |
—
|
NE NERFINISHED |
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: Carrefour Group | Statement: [Carrefour Drive, brandOwner, Carrefour Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrefour Group Context triple: [Carrefour Drive, brandOwner, Carrefour Group]
-
A.
Carrefour
chosen
Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
-
B.
Carrefour
Carrefour is a major suburban city in Haiti, located just southwest of the capital Port-au-Prince and known as part of the country's largest metropolitan area.
-
C.
Auchan Group (assumed)
Auchan Group is a major French multinational retail corporation operating hypermarkets, supermarkets, and convenience stores in numerous countries.
-
D.
Galeries Lafayette Group
Galeries Lafayette Group is a major French retail conglomerate best known for its flagship Galeries Lafayette department stores and prominent presence in fashion and luxury goods.
-
E.
Cencosud
Cencosud is a major Latin American retail conglomerate based in Chile, operating supermarkets, home improvement stores, department stores, and shopping centers across several countries in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7f74948190beaf6ea24ba29276 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.