Triple

T15546905
Position Surface form Disambiguated ID Type / Status
Subject Bahrain (Swat) E370631 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: [Bahrain (Swat), distanceFrom, Mingora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mingora
Context triple: [Bahrain (Swat), 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. Suleimankhel
    Suleimankhel is a prominent Pashtun tribal group that forms a major branch of the larger Ghilji confederation in Afghanistan and Pakistan.
  • C. Bakhtawar
    Bakhtawar is the daughter of former Pakistani Prime Minister Benazir Bhutto and former President Asif Ali Zardari, known as a member of the influential Bhutto political family.
  • D. Panjgur
    Panjgur is a town and district headquarters in Pakistan’s Balochistan province, known for its date cultivation and location along historic trade routes.
  • E. Risalpur
    Risalpur is a town in Pakistan’s Khyber Pakhtunkhwa province known as a major military and air force training center.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.