Triple
T4314596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Garonne |
E94156
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Luchon |
E428686
|
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: Luchon | Statement: [Haute-Garonne, contains, Luchon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luchon Context triple: [Haute-Garonne, contains, 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
chosen
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.
Vigan
Vigan is a historic city in the Philippines renowned for its well-preserved Spanish colonial and Asian architecture, and is recognized as a UNESCO World Heritage Site.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f4448481908be2c7df9cc71bb9 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5bf4dd48190b84d8488a4f196a8 |
completed | March 14, 2026, 11:56 p.m. |
Created at: March 12, 2026, 11:12 p.m.