Triple

T4826005
Position Surface form Disambiguated ID Type / Status
Subject Northern Pakistan E107825 entity
Predicate containsCity P294 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: [Northern Pakistan, containsCity, Mingora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mingora
Context triple: [Northern Pakistan, containsCity, 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. 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.
  • C. Swabi
    Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
  • D. Bannu
    Bannu is a historic city in northwestern Pakistan known as a regional commercial and cultural center in the Khyber Pakhtunkhwa province.
  • E. Mohmand Agency
    Mohmand Agency was a former administrative district in Pakistan’s Federally Administered Tribal Areas along the Afghan border, inhabited mainly by Pashtun tribes.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dcd3ecc8190a5223f00344019ff completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.