Triple
T6941877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digoin |
E160694
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Moulins |
E29623
|
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: Moulins | Statement: [Digoin, locatedNear, Moulins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulins Context triple: [Digoin, locatedNear, Moulins]
-
A.
Moulins
chosen
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
B.
Sous-Moulin
Sous-Moulin is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, known primarily as a residential and community area.
-
C.
Moulin
Moulin is a French commune known for its cultural and municipal partnership as a twin town of Wesel, Germany.
-
D.
Moulin
Moulin is a French surname most famously associated with Jean Moulin, a leading figure of the French Resistance during World War II.
-
E.
Champ-du-Moulin
Champ-du-Moulin is a small hamlet in the Areuse gorge in the canton of Neuchâtel, Switzerland, known for its scenic river landscape and hiking trails.
- 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_69c7515bb4688190a81bef732676eb4e |
completed | March 28, 2026, 3:56 a.m. |
Created at: March 27, 2026, 2:28 p.m.