Triple

T17826657
Position Surface form Disambiguated ID Type / Status
Subject Kashmir E445134 entity
Predicate hasCity P316 FINISHED
Object Muzaffarabad 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: Muzaffarabad | Statement: [Kashmir, hasCity, Muzaffarabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muzaffarabad
Context triple: [Kashmir, hasCity, Muzaffarabad]
  • A. Muzaffarabad chosen
    Muzaffarabad is a mountainous city in northern Pakistan known as the administrative and cultural center of the Azad Jammu and Kashmir region.
  • B. Muzaffarabad District
    Muzaffarabad District is an administrative region in Azad Jammu and Kashmir, Pakistan, known for its mountainous terrain, scenic valleys, and role as the location of the territory’s capital city, Muzaffarabad.
  • C. Shujabad
    Shujabad is a city in southern Punjab, Pakistan, known for its agricultural economy and proximity to the regional center of Multan.
  • D. Quetta
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • 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 (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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.