Triple

T4958306
Position Surface form Disambiguated ID Type / Status
Subject Tarentaise Valley E111340 entity
Predicate notableTown P14082 FINISHED
Object Moûtiers E516575 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: Moûtiers | Statement: [Tarentaise Valley, notableTown, Moûtiers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moûtiers
Context triple: [Tarentaise Valley, notableTown, Moûtiers]
  • A. Moûtiers chosen
    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.
  • B. Vièze
    Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
  • C. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • D. Bilhères
    Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
  • E. 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.
  • 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_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_69bf3a8192848190aa2413b9517f18d8 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:32 p.m.