Triple

T7017926
Position Surface form Disambiguated ID Type / Status
Subject Government of Balochistan E162742 entity
Predicate jurisdiction P82 FINISHED
Object Sibi District E175840 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: Sibi District | Statement: [Government of Balochistan, jurisdiction, Sibi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibi District
Context triple: [Government of Balochistan, jurisdiction, Sibi District]
  • A. Sibi District chosen
    Sibi District is an administrative district in the Balochistan province of Pakistan, centered around the historic town of Sibi.
  • B. Nawalpur District
    Nawalpur District is an administrative district in central Nepal known for its diverse landscapes, agriculture, and location within the Gandaki Province.
  • C. Reasi district
    Reasi district is an administrative region in the Indian union territory of Jammu and Kashmir, known for its hilly terrain, pilgrimage sites, and proximity to major infrastructure projects like the Chenab Rail Bridge.
  • D. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • E. Saha District
    Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e79c108190a507335e9dbf2716 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7884ac340819093e1812738d5e30f completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:34 p.m.