Triple
T717411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | hasHistoricCity |
P3786
|
FINISHED |
| Object | Cahors |
E171878
|
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: Cahors | Statement: [Occitanie, hasHistoricCity, Cahors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cahors Context triple: [Occitanie, hasHistoricCity, Cahors]
-
A.
Cahors
chosen
Cahors is a historic town in southwestern France renowned for its medieval architecture, including the fortified Valentré Bridge, and its surrounding Malbec wine-producing vineyards.
-
B.
Béziers
Béziers is a historic city in southern France known for its wine production, ancient Roman heritage, and the famous Feria de Béziers festival.
-
C.
Albi
Albi is a historic city in southern France renowned for its red-brick medieval architecture and the UNESCO-listed Episcopal City centered around Sainte-Cécile Cathedral.
-
D.
Montpellier
Montpellier is a major city in southern France known for its medieval old town, vibrant university life, and proximity to the Mediterranean coast.
-
E.
Beaucaire
Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad5897c8488190b5266a04150f81de |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:37 p.m.