Triple

T7815107
Position Surface form Disambiguated ID Type / Status
Subject Pishin Valley E180984 entity
Predicate administrativeCenterNearby P34698 FINISHED
Object Pishin E32160 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: Pishin | Statement: [Pishin Valley, administrativeCenterNearby, Pishin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pishin
Context triple: [Pishin Valley, administrativeCenterNearby, Pishin]
  • A. Pishin chosen
    Pishin is a town and district in present-day Balochistan, Pakistan, known historically as an agricultural and trade center in the region.
  • B. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • C. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • D. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • E. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96c009c81909726e1653b6f1348 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.