Triple
T4958286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarentaise Valley |
E111340
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Moûtiers
Moûtiers is a small town in the French Alps that serves as a key gateway and transport hub for several major ski resorts in the Tarentaise region.
|
E516575
|
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: Moûtiers | Statement: [Tarentaise Valley, contains, Moûtiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moûtiers Context triple: [Tarentaise Valley, contains, Moûtiers]
-
A.
Vièze
Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
-
B.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
C.
Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
-
D.
Bourgoin-Jallieu
Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
-
E.
Cavaillon
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
- 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: Moûtiers Triple: [Tarentaise Valley, contains, Moûtiers]
Generated description
Moûtiers is a small town in the French Alps that serves as a key gateway and transport hub for several major ski resorts in the Tarentaise region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moûtiers Target entity description: Moûtiers is a small town in the French Alps that serves as a key gateway and transport hub for several major ski resorts in the Tarentaise region.
-
A.
Vièze
Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
-
B.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
C.
Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
-
D.
Bourgoin-Jallieu
Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
-
E.
Cavaillon
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32ff26fc81909a8fc0f08eec0dbd |
completed | March 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69bf33b60cac8190b62210b23ce90d06 |
completed | March 22, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf341dab94819095fe429560cdbbc5 |
completed | March 22, 2026, 12:13 a.m. |
Created at: March 20, 2026, 1:32 p.m.