Triple
T11215673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béziers–Neussargues railway |
E265432
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Neussargues |
E923324
|
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: Neussargues | Statement: [Béziers–Neussargues railway, connects, Neussargues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neussargues Context triple: [Béziers–Neussargues railway, connects, Neussargues]
-
A.
Neussargues
chosen
Neussargues is a commune in south-central France known as a railway junction and terminus in the Auvergne region.
-
B.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
C.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
D.
Groslay
Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
-
E.
Olliergues
Olliergues is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3049e788190a7caf324a4b793d2 |
completed | April 20, 2026, 7:17 a.m. |
Created at: April 8, 2026, 9:30 p.m.