Triple

T11509744
Position Surface form Disambiguated ID Type / Status
Subject Pakistani passports E272876 entity
Predicate legalBasis P125 FINISHED
Object Pakistan Passport Rules E272876 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: Pakistan Passport Rules | Statement: [Pakistani passports, legalBasis, Pakistan Passport Rules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan Passport Rules
Context triple: [Pakistani passports, legalBasis, Pakistan Passport Rules]
  • A. Pakistani passports chosen
    Pakistani passports are official travel documents issued by the Government of Pakistan to its citizens for international travel and identification.
  • B. Indian passports
    Indian passports are official travel and identity documents issued by the Government of India to its citizens for international travel and consular protection abroad.
  • C. Malaysian passports
    Malaysian passports are official travel documents issued to Malaysian citizens that serve as proof of identity and nationality for international travel.
  • D. Turkish passports
    Turkish passports are official travel documents issued by the Republic of Türkiye to its citizens for international travel and identification.
  • E. Iranian passports
    Iranian passports are official travel documents issued to Iranian citizens for international travel and identification.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db65eb081908613a1002c6a4fb4 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625055dfc81909a87418a3ed40027 completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.