Triple
T4301201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hautes-Pyrénées |
E99839
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Luz-Saint-Sauveur
Luz-Saint-Sauveur is a mountain commune and spa resort in the French Pyrenees known for its thermal baths and proximity to major hiking and skiing areas.
|
E428687
|
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: Luz-Saint-Sauveur | Statement: [Hautes-Pyrénées, contains, Luz-Saint-Sauveur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luz-Saint-Sauveur Context triple: [Hautes-Pyrénées, contains, Luz-Saint-Sauveur]
-
A.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
B.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
C.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Roquebrun
Roquebrun is a picturesque village in southern France’s Hérault department, known for its Mediterranean microclimate, wine production, and scenic setting amid hills and river landscapes.
- 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: Luz-Saint-Sauveur Triple: [Hautes-Pyrénées, contains, Luz-Saint-Sauveur]
Generated description
Luz-Saint-Sauveur is a mountain commune and spa resort in the French Pyrenees known for its thermal baths and proximity to major hiking and skiing areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luz-Saint-Sauveur Target entity description: Luz-Saint-Sauveur is a mountain commune and spa resort in the French Pyrenees known for its thermal baths and proximity to major hiking and skiing areas.
-
A.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
B.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
C.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Roquebrun
Roquebrun is a picturesque village in southern France’s Hérault department, known for its Mediterranean microclimate, wine production, and scenic setting amid hills and river landscapes.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c74d59688190820cef42c4228a3a |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7bd187c8190b79894c864ea5b19 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c88035dc8190beacf43974a29c78 |
completed | March 14, 2026, 8:43 p.m. |
Created at: March 12, 2026, 11:08 p.m.