Triple

T7822198
Position Surface form Disambiguated ID Type / Status
Subject Quetta Cantonment E181157 entity
Predicate near P350 FINISHED
Object Quetta city center E31430 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: Quetta city center | Statement: [Quetta Cantonment, near, Quetta city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quetta city center
Context triple: [Quetta Cantonment, near, Quetta city center]
  • A. Quetta chosen
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • B. Karachi civic center area
    Karachi civic center area is a key administrative and commercial district in Karachi that houses important government offices, public institutions, and transport links.
  • C. Shujabad
    Shujabad is a city in southern Punjab, Pakistan, known for its agricultural economy and proximity to the regional center of Multan.
  • D. Peshawar
    Peshawar is one of Pakistan’s oldest and largest cities, a historic cultural and economic hub located near the Khyber Pass in the country’s northwest.
  • E. North Karachi
    North Karachi is a major residential and commercial neighborhood in the northern part of Karachi, Pakistan, known for its dense population and mixed urban development.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cafa095d7081908b3e492ce58b5d5f completed March 30, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a66c1c0819087ce9890f28bb022 completed March 31, 2026, 5:23 a.m.
Created at: March 30, 2026, 4:41 p.m.