Triple
T5933580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrefour |
E131992
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Carrefour City |
E131992
|
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: Carrefour City | Statement: [Carrefour, hasBrand, Carrefour City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrefour City Context triple: [Carrefour, hasBrand, Carrefour City]
-
A.
Carrefour Pleyel
Carrefour Pleyel is a Paris Métro station in the northern suburb of Saint-Denis, serving as a stop on the busy Line 13.
-
B.
Carrefour de l’Arbre
Carrefour de l’Arbre is a legendary, brutally rough cobbled sector in northern France that often proves decisive in the outcome of the Paris–Roubaix cycling race.
-
C.
Lachic shopping mall
Lachic shopping mall is a major upscale shopping and lifestyle complex located in the Sakae district of Nagoya, Japan.
-
D.
Auchan Kirchberg shopping mall
Auchan Kirchberg shopping mall is a large retail and commercial center located in Luxembourg City’s modern Kirchberg district, known for its hypermarket and variety of shops and services.
-
E.
Carrefour
chosen
Carrefour is a major French multinational retail corporation and one of the world’s largest hypermarket chains.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3affd748190a37e3cc60e58d6a6 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.