Triple

T11562647
Position Surface form Disambiguated ID Type / Status
Subject Madyan E274180 entity
Predicate distanceFrom P1299 FINISHED
Object Mingora E34338 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: Mingora | Statement: [Madyan, distanceFrom, Mingora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mingora
Context triple: [Madyan, distanceFrom, Mingora]
  • A. Mingora chosen
    Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
  • B. Panjgur
    Panjgur is a town and district headquarters in Pakistan’s Balochistan province, known for its date cultivation and location along historic trade routes.
  • C. Orakzai Agency
    Orakzai Agency was a former administrative district in Pakistan’s northwestern tribal belt, inhabited mainly by the Orakzai Pashtun tribe and later merged into Khyber Pakhtunkhwa province.
  • D. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • E. Bannu
    Bannu is a historic city in northwestern Pakistan known as a regional commercial and cultural center in the Khyber Pakhtunkhwa province.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef12f0661081909c31de2c2cd304e3 completed April 27, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:37 p.m.