Triple

T7753907
Position Surface form Disambiguated ID Type / Status
Subject Sibi District E175840 entity
Predicate borderedBy P224 FINISHED
Object Ziarat District E636206 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: Ziarat District | Statement: [Sibi District, borderedBy, Ziarat District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziarat District
Context triple: [Sibi District, borderedBy, Ziarat District]
  • A. Ziarat District chosen
    Ziarat District is a mountainous administrative region in northeastern Balochistan, Pakistan, known for its juniper forests and the historic Ziarat Residency.
  • B. Saydabad District
    Saydabad District is an administrative district in Afghanistan located within Wardak Province, known for its strategic position along the Kabul–Kandahar highway and its predominantly rural communities.
  • C. Sangi Takht District
    Sangi Takht District is an administrative district located within Afghanistan’s central Daykundi Province.
  • D. Buin District
    Buin District is an administrative area in Papua New Guinea’s Autonomous Region of Bougainville, known as the traditional homeland of the Buin people.
  • E. Zangilan District
    Zangilan District is a region in southwestern Azerbaijan, located near the borders with Armenia and Iran and known for its strategic position in the South Caucasus.
  • 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_69c8c7cb9e608190bfe62bf37b485fe9 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:08 p.m.