Triple
T17666970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Forcalquier |
E440407
|
entity |
| Predicate | territorialDesignation |
P14731
|
FINISHED |
| Object | Forcalquier |
—
|
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: Forcalquier | Statement: [Countess of Forcalquier, territorialDesignation, Forcalquier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forcalquier Context triple: [Countess of Forcalquier, territorialDesignation, Forcalquier]
-
A.
Forcalquier
chosen
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
B.
Fargas
Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Joncreuil
Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
E.
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.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46eaaaec8819086977d8a5210c44e |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:57 a.m.