Triple
T18988646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Maurice church of Jougne |
E464621
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Jougne |
—
|
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: Jougne | Statement: [Saint-Maurice church of Jougne, locatedIn, Jougne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jougne Context triple: [Saint-Maurice church of Jougne, locatedIn, Jougne]
-
A.
Jougne
chosen
Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
-
B.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
C.
Jasseines
Jasseines is a small commune in the Aube department of north-central France, situated within the canton of Brienne-le-Château.
-
D.
Josserand
Josserand is a French surname most notably associated with the fictional bourgeois family in Émile Zola’s novel "Pot-Bouille."
-
E.
La Brague
La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d66272388190850a7e5dec165a01 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.