Triple

T14681230
Position Surface form Disambiguated ID Type / Status
Subject Federal University Lokoja E344789 entity
Predicate locatedIn P40 FINISHED
Object Lokoja E108905 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: Lokoja | Statement: [Federal University Lokoja, locatedIn, Lokoja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lokoja
Context triple: [Federal University Lokoja, locatedIn, Lokoja]
  • A. Lokoja chosen
    Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
  • B. Banjima
    Banjima is an Aboriginal Australian people traditionally associated with the Pilbara region of Western Australia, known for their distinct language and cultural heritage.
  • C. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • D. Jirapa
    Jirapa is a town in Ghana that serves as a local administrative and commercial center in the country’s Upper West Region.
  • E. Lokosi
    Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde182dab08190aac2ff2db666ee69 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.