Triple

T3828303
Position Surface form Disambiguated ID Type / Status
Subject University of Baghdad E88744 entity
Predicate hasNotableAlumni P51 FINISHED
Object Zaha Hadid E161056 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: Zaha Hadid | Statement: [University of Baghdad, hasNotableAlumni, Zaha Hadid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaha Hadid
Context triple: [University of Baghdad, hasNotableAlumni, Zaha Hadid]
  • A. Zaha Hadid chosen
    Zaha Hadid was a pioneering Iraqi-British architect renowned for her radical, futuristic designs and for being the first woman to receive the Pritzker Architecture Prize.
  • B. David Adjaye
    David Adjaye is a Ghanaian-British architect renowned for his innovative, culturally resonant designs and major public projects around the world.
  • C. Rafael Viñoly
    Rafael Viñoly was a Uruguayan-born architect renowned for his large-scale cultural and civic projects around the world, including prominent museums, concert halls, and landmark skyscrapers.
  • D. Jean Nouvel
    Jean Nouvel is a renowned French architect celebrated for his innovative, context-sensitive designs on landmark projects around the world.
  • E. Kazuyo Sejima
    Kazuyo Sejima is a renowned Japanese architect known for her minimalist, light-filled designs and as a founding partner of the firm SANAA.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb683c2081908ffa6e759a3470fe completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb51e6248190b242f9e498a320d3 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.