Triple

T9951518
Position Surface form Disambiguated ID Type / Status
Subject Jammu Division E195340 entity
Predicate hasDistrict P459 FINISHED
Object Doda district E544679 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: Doda district | Statement: [Jammu Division, hasDistrict, Doda district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doda district
Context triple: [Jammu Division, hasDistrict, Doda district]
  • A. Doda district chosen
    Doda district is an administrative district in the hilly Chenab Valley region of Jammu and Kashmir, India, known for its mountainous terrain and cultural diversity.
  • B. Kudanshita district
    Kudanshita district is a central Tokyo neighborhood known for its proximity to the Imperial Palace area, educational institutions, and cultural sites such as Yasukuni Shrine and the Nippon Budokan.
  • C. Shimen District
    Shimen District is a rural coastal district in northern Taiwan known for its scenic shoreline, historic sites, and role as part of New Taipei City.
  • D. Senkawa district
    Senkawa district is a residential neighborhood in Tokyo, Japan, known for its convenient urban location and access to public transportation.
  • E. Tenma district
    Tenma district is a bustling urban neighborhood in Osaka, Japan, known for its traditional shopping arcades, lively nightlife, and historic Tenmangu Shrine.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6922f888190b5c4b58fbe21bea2 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281e1eb848190b898e36ec9821228 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:46 p.m.