Triple

T10179435
Position Surface form Disambiguated ID Type / Status
Subject Bashgal dialect E235945 entity
Predicate spokenIn P2266 FINISHED
Object Peche Valley E258281 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: Peche Valley | Statement: [Bashgal dialect, spokenIn, Peche Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peche Valley
Context triple: [Bashgal dialect, spokenIn, Peche Valley]
  • A. Peche Valley chosen
    Peche Valley is a mountainous valley region in eastern Afghanistan known as the primary homeland of the Ashkun-speaking Nuristani communities.
  • 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. Vallée
    Vallée is a French surname most notably associated with acclaimed Canadian film director and screenwriter Jean-Marc Vallée.
  • D. 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.
  • E. Gressoney Valley
    Gressoney Valley is an alpine valley in Italy’s Aosta Valley region, known for its traditional Walser culture, picturesque villages, and access to the Monte Rosa massif and ski area.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301373a008190b8d39a8db4167e4f completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.