Triple

T13803236
Position Surface form Disambiguated ID Type / Status
Subject Ilorin East E331692 entity
Predicate hasSettlement P1068 FINISHED
Object Iponrin E306864 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: Iponrin | Statement: [Ilorin East, hasSettlement, Iponrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iponrin
Context triple: [Ilorin East, hasSettlement, Iponrin]
  • A. Iponri chosen
    Iponri is a residential and commercial neighborhood in Lagos, Nigeria, situated within the Surulere area and known for its markets and proximity to major city routes.
  • B. Riniken
    Riniken is a small municipality in the canton of Aargau in northern Switzerland, situated near the town of Brugg.
  • C. Shinrone
    Shinrone is a small village in County Offaly, Ireland, known for its rural character and historic parish community.
  • D. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • E. Poronin
    Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.