Triple

T18877280
Position Surface form Disambiguated ID Type / Status
Subject Sulaiman Range E461719 entity
Predicate passesThrough P225 FINISHED
Object Loralai District NE NERFINISHED

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: [Sulaiman Range, passesThrough, Loralai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loralai District
Context triple: [Sulaiman Range, passesThrough, 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. Pallisa District
    Pallisa District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • C. Buchosa District
    Buchosa District is an administrative district located within Tanzania's Mwanza Region, along the southern shores of Lake Victoria.
  • D. Sharana District
    Sharana District is an administrative district in eastern Afghanistan that serves as the capital district of Paktika Province.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3cf0aa0819090991fc9e14910fb completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.