Triple

T4216635
Position Surface form Disambiguated ID Type / Status
Subject Ghizer Valley E94232 entity
Predicate languageSpoken P151 FINISHED
Object Shina E81878 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: Shina | Statement: [Ghizer Valley, languageSpoken, Shina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shina
Context triple: [Ghizer Valley, languageSpoken, Shina]
  • A. Shina chosen
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • B. Alpa Chino
    Alpa Chino is a fictional rapper-turned-actor character in the satirical war film "Tropic Thunder," known for his commercialized hip-hop persona and humorous product endorsements.
  • C. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • D. Shingu
    Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
  • E. Zhengyia
    Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34bea284081909beaded9873f0852 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a855cfc08190acceced9cb80f41a completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:04 p.m.