Triple

T8932441
Position Surface form Disambiguated ID Type / Status
Subject Great Seal of Liberia E212689 entity
Predicate usedOn P2367 FINISHED
Object Liberian passports E767800 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: Liberian passports | Statement: [Great Seal of Liberia, usedOn, Liberian passports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberian passports
Context triple: [Great Seal of Liberia, usedOn, Liberian passports]
  • A. Liberian passports chosen
    Liberian passports are official travel documents issued to citizens of Liberia for international identification and movement.
  • B. Sierra Leonean passports
    Sierra Leonean passports are official travel documents issued to citizens of Sierra Leone for international travel and identification.
  • C. African Union passport
    The African Union passport is a travel document issued by the African Union to promote continent-wide mobility and eventual visa-free movement for African citizens.
  • D. Peruvian passports
    Peruvian passports are official travel documents issued to citizens of Peru for international identification and border crossing.
  • E. Nigerian passports
    Nigerian passports are official travel documents issued by the Nigerian government to its 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93587b081908e23c2a8c01b9516 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:57 p.m.