Triple

T7753910
Position Surface form Disambiguated ID Type / Status
Subject Sibi District E175840 entity
Predicate borderedBy P224 FINISHED
Object Harnai District E636205 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: Harnai District | Statement: [Sibi District, borderedBy, Harnai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harnai District
Context triple: [Sibi District, borderedBy, Harnai District]
  • A. Harnai District chosen
    Harnai District is an administrative district in Pakistan’s Balochistan province, known for its predominantly Pashtun population and mountainous terrain.
  • B. Hunza–Nagar District
    Hunza–Nagar District is a mountainous administrative region in Gilgit-Baltistan, northern Pakistan, known for its high peaks, glaciers, and scenic Karakoram landscapes.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c06f54819096162e84180918ba completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:08 p.m.