Triple

T14219464
Position Surface form Disambiguated ID Type / Status
Subject Fizagat Park E352449 entity
Predicate near P350 FINISHED
Object Mingora city 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 city | Statement: [Fizagat Park, near, Mingora city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mingora city
Context triple: [Fizagat Park, near, Mingora city]
  • 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. Risalpur
    Risalpur is a town in Pakistan’s Khyber Pakhtunkhwa province known as a major military and air force training center.
  • C. Bannu
    Bannu is a historic city in northwestern Pakistan known as a regional commercial and cultural center in the Khyber Pakhtunkhwa province.
  • 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. 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.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324f501081908f7017302bc40b3a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:06 a.m.