Triple

T11460787
Position Surface form Disambiguated ID Type / Status
Subject Chablais Alps E271652 entity
Predicate contains P35 FINISHED
Object Abondance Valley E920141 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: Abondance Valley | Statement: [Chablais Alps, contains, Abondance Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abondance Valley
Context triple: [Chablais Alps, contains, Abondance Valley]
  • A. Abondance Valley chosen
    Abondance Valley is a picturesque alpine valley in the French Alps known for its traditional villages, ski areas, and production of Abondance cheese.
  • B. Fils Valley
    Fils Valley is a scenic valley in the German state of Baden-Württemberg, shaped by the Fils River and known for its towns, transport routes, and industrial history.
  • C. Loue Valley
    Loue Valley is a picturesque river valley in eastern France known for its dramatic limestone cliffs, lush landscapes, and association with the painter Gustave Courbet.
  • D. Aspe Valley
    Aspe Valley is a scenic valley in the French Pyrenees known for its rugged mountain landscapes, traditional villages, and historical sites.
  • E. Vrátna Valley
    Vrátna Valley is a popular mountain valley and tourist destination in northern Slovakia, known for its hiking, skiing, and scenic landscapes in the Malá Fatra range.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f384f08190b1150ed1389dd31a completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6040733648190a10f9553b3ac87a7 completed April 20, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:35 p.m.