Triple

T13427049
Position Surface form Disambiguated ID Type / Status
Subject Qatar Foundation E313508 entity
Predicate owns P347 FINISHED
Object Education City E313507 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: Education City | Statement: [Qatar Foundation, owns, Education City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Education City
Context triple: [Qatar Foundation, owns, Education City]
  • A. Education City
    Education City is a nickname for Rajshahi, a major city in Bangladesh renowned for its high concentration of universities and educational institutions.
  • B. Education City chosen
    Education City is a large academic hub on the outskirts of Doha, Qatar, that hosts branch campuses of several leading international universities and research institutions.
  • C. University City
    University City is a residential neighborhood within the city of Kenner in Jefferson Parish, Louisiana.
  • D. University City
    University City is a vibrant West Philadelphia neighborhood known for its major universities, research institutions, and cultural diversity.
  • E. University City Campus
    University City Campus is Drexel University's main urban campus located in the University City neighborhood of Philadelphia, known for its concentration of higher education and research institutions.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398984f48190adaa1963d261d538 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.