Triple

T7641864
Position Surface form Disambiguated ID Type / Status
Subject Kalat E173027 entity
Predicate borderingAdministrativeUnit P224 FINISHED
Object Kharan District E273614 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: Kharan District | Statement: [Kalat, borderingAdministrativeUnit, Kharan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharan District
Context triple: [Kalat, borderingAdministrativeUnit, Kharan District]
  • A. Kharan District chosen
    Kharan District is an administrative district in the Balochistan province of Pakistan, known for its arid desert landscape and sparse population.
  • B. Barkhan District
    Barkhan District is an administrative district in the northeastern part of Pakistan’s Balochistan province, known for its rugged terrain and predominantly tribal population.
  • C. Karak District
    Karak District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its Pashtun population and significant oil and gas reserves.
  • D. Rusafa District
    Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
  • E. Baabda District
    Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facefbe08190882bd76cf3cd605e completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d1008c8190898a582a82038e48 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.