Triple

T4967224
Position Surface form Disambiguated ID Type / Status
Subject Egyptian parliamentary elections, 2011–2012 E111557 entity
Predicate appointingAuthorityForReservedSeats P47248 FINISHED
Object head of state of Egypt LITERAL 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: head of state of Egypt | Statement: [Egyptian parliamentary elections, 2011–2012, appointingAuthorityForReservedSeats, head of state of Egypt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appointingAuthorityForReservedSeats
Context triple: [Egyptian parliamentary elections, 2011–2012, appointingAuthorityForReservedSeats, head of state of Egypt]
  • A. hasReservedSeats
    Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
  • B. seatsAreAllocatedTo
    Indicates that specific seats are assigned or designated to particular entities (such as people, groups, or bookings).
  • C. seatsAllocatedBy chosen
    Indicates that seats are assigned or distributed by a particular agent, authority, or mechanism.
  • D. seatAgreementWith
    Indicates an arrangement or understanding by which one party provides or allocates seating to another under agreed terms.
  • E. allowsReservation
    Indicates that one entity permits another entity to make or hold a reservation for its use or access.
  • F. None of above.

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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd72e49b048190bac55d9e7a6f7963 completed March 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69bd71447fe88190bb62c5e8753da7a7 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:32 p.m.