Triple
T5933617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrefour |
E131992
|
entity |
| Predicate | foundedInCity |
P263
|
FINISHED |
| Object | Annecy, France |
E410098
|
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: Annecy, France | Statement: [Carrefour, foundedInCity, Annecy, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annecy, France Context triple: [Carrefour, foundedInCity, Annecy, France]
-
A.
Annecy, France
Annecy, France is a picturesque Alpine town in southeastern France known for its medieval old town, canals, and the clear blue waters of Lake Annecy.
-
B.
Annecy
chosen
Annecy is a picturesque city in southeastern France, known for its medieval old town, canals, and lakeside setting in the French Alps.
-
C.
Annecy agglomeration
Annecy agglomeration is an urban area in southeastern France centered on the city of Annecy, known for its lakeside setting, Alpine surroundings, and role as a regional economic and cultural hub.
-
D.
Lac Chambon
Lac Chambon is a volcanic-origin lake in the Monts Dore massif of central France, known for its scenic mountain setting and recreational activities.
-
E.
Lake Annecy
Lake Annecy is a picturesque alpine lake in southeastern France, renowned for its clear turquoise waters, surrounding mountains, and popular recreational activities.
- 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_69c108202c608190b930859eb926ea15 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4 p.m.