Triple
T16132158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Mende |
E391424
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Langogne |
E155298
|
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: Langogne | Statement: [arrondissement of Mende, contains, Langogne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langogne Context triple: [arrondissement of Mende, contains, Langogne]
-
A.
Langogne
chosen
Langogne is a small historic town in south-central France, known for its picturesque setting in the Gévaudan region and its traditional rural character.
-
B.
Lubersac
Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
-
C.
Aixois
Aixois is the French demonym for inhabitants of the spa town of Aix-les-Bains in southeastern France.
-
D.
Rive-de-Gier
Rive-de-Gier is a commune in central France’s Loire department, historically known for its coal mining and glassmaking industries.
-
E.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a0ed9c8190a10fa88ee94811cb |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.