Triple

T12963167
Position Surface form Disambiguated ID Type / Status
Subject Onne Port E321196 entity
Predicate locatedIn P40 FINISHED
Object Onne E382246 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: Onne | Statement: [Onne Port, locatedIn, Onne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onne
Context triple: [Onne Port, locatedIn, Onne]
  • A. Onne chosen
    Onne is a port town in Rivers State, Nigeria, known for its major oil and gas logistics base and deepwater port facilities.
  • B. Onn
    Onn is a Malaysian family name most prominently associated with political figures such as former Prime Minister Hussein Onn.
  • C. Unna
    Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • D. Odda
    Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
  • E. Onan
    Onan is a biblical figure from the Book of Genesis, known as the second son of Judah whose refusal to fulfill his levirate duty led to his death by divine judgment.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e2f5e448190b56e74602c43358d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e227948190a2d08db97b4e41aa completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:24 p.m.