Triple
T7732051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comminges |
E175282
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Luchon
Luchon is a renowned spa and mountain resort town in the French Pyrenees, famous for its thermal baths and outdoor activities.
|
E685571
|
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: Luchon | Statement: [Comminges, hasMajorTown, Luchon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luchon Context triple: [Comminges, hasMajorTown, Luchon]
-
A.
Pau-Ferro
Pau-Ferro is a neighborhood in the city of Recife, Brazil.
-
B.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
-
C.
Argelès-Gazost
Argelès-Gazost is a small spa and tourist town in southwestern France, nestled in the Pyrenees and serving as a gateway to nearby mountain valleys and national parks.
-
D.
Céret
Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
-
E.
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.
- 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: Luchon Triple: [Comminges, hasMajorTown, Luchon]
Generated description
Luchon is a renowned spa and mountain resort town in the French Pyrenees, famous for its thermal baths and outdoor activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luchon Target entity description: Luchon is a renowned spa and mountain resort town in the French Pyrenees, famous for its thermal baths and outdoor activities.
-
A.
Pau-Ferro
Pau-Ferro is a neighborhood in the city of Recife, Brazil.
-
B.
Marvejols
Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
-
C.
Argelès-Gazost
Argelès-Gazost is a small spa and tourist town in southwestern France, nestled in the Pyrenees and serving as a gateway to nearby mountain valleys and national parks.
-
D.
Céret
Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
-
E.
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.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70336aafc819099a060950ab8922f |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3244088190be26dec90db9cfb3 |
completed | March 29, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69c8bf141c8081908c33dab4d90943b0 |
completed | March 29, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bf8c4bdc81909c74f7b4ec524177 |
completed | March 29, 2026, 5:58 a.m. |
Created at: March 27, 2026, 4:06 p.m.