Triple

T9621110
Position Surface form Disambiguated ID Type / Status
Subject Hizbul Mujahideen E232341 entity
Predicate headquartersLocation P62 FINISHED
Object Muzaffarabad E78644 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: Muzaffarabad | Statement: [Hizbul Mujahideen, headquartersLocation, Muzaffarabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muzaffarabad
Context triple: [Hizbul Mujahideen, headquartersLocation, 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 (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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad3a8d88190b1414aa676d82f36 completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f7ea448190b9fe123589a9f3c5 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:10 p.m.