Triple

T11066630
Position Surface form Disambiguated ID Type / Status
Subject Tareen tribe E261640 entity
Predicate region P40 FINISHED
Object Loralai district E628548 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: Loralai district | Statement: [Tareen tribe, region, Loralai district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loralai district
Context triple: [Tareen tribe, region, Loralai district]
  • A. Loralai District chosen
    Loralai District is an administrative district in northeastern Balochistan, Pakistan, known for its predominantly Pashtun population and mountainous terrain.
  • B. Shardara District
    Shardara District is an administrative district in southern Kazakhstan known for its agricultural activities and proximity to the Syr Darya River and Shardara Reservoir.
  • C. Sharana District
    Sharana District is an administrative district in eastern Afghanistan that serves as the capital district of Paktika Province.
  • D. Awaran District
    Awaran District is a sparsely populated and underdeveloped administrative district in southwestern Balochistan, Pakistan, known for its rugged terrain and recurring seismic activity.
  • E. Matiari District
    Matiari District is an administrative district in the Sindh province of Pakistan, known for its agricultural economy and historical towns.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79920428c81908db824ab54e08e8d completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e76a49fc8190945f4770bf808b43 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.