Triple

T12806971
Position Surface form Disambiguated ID Type / Status
Subject Ijeshaland E306169 entity
Predicate majorTown P316 FINISHED
Object Iperindo E303981 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: Iperindo | Statement: [Ijeshaland, majorTown, Iperindo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iperindo
Context triple: [Ijeshaland, majorTown, Iperindo]
  • A. Iperindo chosen
    Iperindo is a major town in the Ijesha area of Osun State in southwestern Nigeria, known for its local communities and regional significance.
  • B. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • C. Prati
    Prati is an elegant central district of Rome known for its wide boulevards, upscale shops, and proximity to the Vatican and major judicial buildings.
  • D. Iri
    Iri is an alternative historical name for the Eurotas River, a major river in the Peloponnese region of Greece associated with ancient Sparta.
  • E. Eusa
    Eusa is the Breton name for Ushant, an island off the western tip of Brittany in France known for its rugged coastline and maritime heritage.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec6556081909375fada79ddcb8c completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.