Triple

T13937334
Position Surface form Disambiguated ID Type / Status
Subject University of Port Harcourt E335152 entity
Predicate shortName P43 FINISHED
Object UNIPORT E335152 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: UNIPORT | Statement: [University of Port Harcourt, shortName, UNIPORT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNIPORT
Context triple: [University of Port Harcourt, shortName, UNIPORT]
  • A. UNIPORT chosen
    UNIPORT is a Nigerian federal university located in Port Harcourt, renowned for its programs in petroleum engineering and other science and humanities disciplines.
  • B. UNITEC
    UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
  • C. UNIBEN
    UNIBEN is a major Nigerian federal university located in Benin City, Edo State, known for its wide range of academic programs and research activities.
  • D. UNILU
    UNILU is the abbreviation for the University of Lucerne, a Swiss higher education institution known for its focus on law, economics, social sciences, theology, and cultural studies.
  • E. UIO
    UIO is the IATA airport code for Mariscal Sucre International Airport serving Quito, Ecuador.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf42878819085146670d7b92605 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce880a98819086ae25d3408bc723 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.