Triple
T717296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mazamet
Mazamet is a town in southern France known historically for its wool and leather industries, situated in the Tarn department within the Occitanie region.
|
E152410
|
NE FINISHED |
How this triple was built (4 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: Mazamet | Statement: [Occitanie, containsCity, Mazamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazamet Context triple: [Occitanie, containsCity, Mazamet]
-
A.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
-
B.
Ussel
Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
-
C.
Aurillac
Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
-
D.
Le Puy-en-Velay
Le Puy-en-Velay is a historic town in south-central France renowned for its volcanic landscape, Marian pilgrimage site, and traditional lace-making.
-
E.
Alès
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mazamet Triple: [Occitanie, containsCity, Mazamet]
Generated description
Mazamet is a town in southern France known historically for its wool and leather industries, situated in the Tarn department within the Occitanie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazamet Target entity description: Mazamet is a town in southern France known historically for its wool and leather industries, situated in the Tarn department within the Occitanie region.
-
A.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
-
B.
Ussel
Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
-
C.
Aurillac
Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
-
D.
Le Puy-en-Velay
Le Puy-en-Velay is a historic town in south-central France renowned for its volcanic landscape, Marian pilgrimage site, and traditional lace-making.
-
E.
Alès
Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
- F. None of above. chosen
Provenance (5 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_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf00f0e08190b90a719952216204 |
completed | March 8, 2026, 12:12 a.m. |
| NEDg | Description generation | batch_69acc09f45848190a191696bd5bc958b |
completed | March 8, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc13442948190b0a4bdd27e2b989a |
completed | March 8, 2026, 12:22 a.m. |
Created at: March 1, 2026, 7:37 p.m.