Triple
T9214658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Céreste |
E221211
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Forcalquier |
E424695
|
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: Forcalquier | Statement: [Céreste, locatedNear, Forcalquier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forcalquier Context triple: [Céreste, locatedNear, Forcalquier]
-
A.
Forcalquier
chosen
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
D.
Hautefort
Hautefort is a historic castle and commune in southwestern France, renowned as the medieval stronghold of the troubadour and nobleman Bertrand de Born.
-
E.
Trogneux
Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda06bf80819094c6e74b4b6a31e4 |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.