Triple
T2312833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourbon-l’Archambault |
E50996
|
entity |
| Predicate | nearbyCity |
P350
|
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: [Bourbon-l’Archambault, nearbyCity, Moulins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulins Context triple: [Bourbon-l’Archambault, nearbyCity, 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.
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.
-
D.
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
E.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61a8e248190b5024cca9efd806d |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9610b420819095afb76347ddf9ee |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:49 p.m.