Triple

T9417287
Position Surface form Disambiguated ID Type / Status
Subject Sangtam Naga E227058 entity
Predicate region P40 FINISHED
Object Kiphire district E783828 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: Kiphire district | Statement: [Sangtam Naga, region, Kiphire district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiphire district
Context triple: [Sangtam Naga, region, Kiphire district]
  • A. Kiphire district chosen
    Kiphire district is an administrative district in the Indian state of Nagaland, known for its hilly terrain, remote location, and diverse indigenous communities.
  • B. Yakimanka District
    Yakimanka District is a central Moscow neighborhood known for its historic streets, cultural institutions, and proximity to the Moscow River and the Kremlin.
  • C. Gakh District
    Gakh District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes, forests, and ethnically diverse population.
  • D. Kech District
    Kech District is an administrative district in Pakistan’s Balochistan province, known for its strategic location in the Makran region and its headquarters at Turbat.
  • E. Rezina District
    Rezina District is an administrative region in eastern Moldova known for its location along the Răut River and its mix of rural communities and historical sites.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cd348948190b9b0844ce5a5af85 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 7:48 p.m.