Triple
T16268679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lot Valley |
E394939
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Espalion |
E327976
|
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: Espalion | Statement: [Lot Valley, contains, Espalion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espalion Context triple: [Lot Valley, contains, Espalion]
-
A.
Espalion
chosen
Espalion is a picturesque commune in southern France’s Aveyron department, known for its historic architecture and scenic riverside setting in the Lot Valley.
-
B.
Calomarde
Calomarde is a small municipality in the province of Teruel, Aragon, Spain, situated within the mountainous Sierra de Albarracín region.
-
C.
Casserres
Casserres is a municipality in the comarca of Berguedà in Catalonia, northeastern Spain.
-
D.
Carcès
Carcès is a commune in the Var department of southeastern France, known for its medieval village center, surrounding vineyards, and proximity to lakes and rivers popular for outdoor activities.
-
E.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245ca5c708190a1e98ab37740c032 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bb1d64819080f007656307f58b |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.