Triple
T6941965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louhans arrondissement |
E160698
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Louhans |
E160693
|
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: Louhans | Statement: [Louhans arrondissement, capital, Louhans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louhans Context triple: [Louhans arrondissement, capital, Louhans]
-
A.
Louhans
chosen
Louhans is a small historic town in eastern France known for its arcaded main street and traditional Bresse architecture.
-
B.
Leyssins
Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
-
C.
Lezoux
Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
-
D.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
-
E.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da85f43881909549ac26b3db135a |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75861cd548190a215d616b68101d9 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.