Triple
T23418548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novempopulania |
E560578
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Eauze |
—
|
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: Eauze | Statement: [Novempopulania, capital, Eauze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eauze Context triple: [Novempopulania, capital, Eauze]
-
A.
Eauze
chosen
Eauze is a historic town in southwestern France, known as a former Roman capital and a center of Armagnac brandy production.
-
B.
Uzès
Uzès is a historic town in southern France’s Occitanie region, known for its well-preserved medieval architecture and proximity to the Pont du Gard.
-
C.
Sergeac
Sergeac is a small commune in southwestern France, known for its location in the prehistoric Vézère Valley rich in Paleolithic archaeological sites.
-
D.
Ille-sur-Têt
Ille-sur-Têt is a commune in southern France’s Pyrénées-Orientales department, known for its historic architecture and striking eroded rock formations called "Les Orgues."
-
E.
Étupes
Étupes is a small commune in eastern France’s Bourgogne-Franche-Comté region, near the city of Montbéliard.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5438ac08190a40a3d6402794699 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:40 p.m.