Triple
T720055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allier River |
E14395
|
entity |
| Predicate | flowsThroughCity |
P10456
|
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: [Allier River, flowsThroughCity, Moulins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moulins Context triple: [Allier River, flowsThroughCity, Moulins]
-
A.
Moulins
chosen
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
-
B.
Alès
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
-
C.
Muret
Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
-
D.
Mitry-Mory
Mitry-Mory is a commune in the northeastern suburbs of Paris, France, known for its proximity to Charles de Gaulle Airport and its role as a residential and logistical hub in the Île-de-France region.
-
E.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58e65e8819098cba7e6a20d8f33 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c005750881909187edfa8e8fa02c |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:37 p.m.