Triple

T12298691
Position Surface form Disambiguated ID Type / Status
Subject The Villa E293157 entity
Predicate alsoKnownAs P39 FINISHED
Object Aso Villa E293156 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: Aso Villa | Statement: [The Villa, alsoKnownAs, Aso Villa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aso Villa
Context triple: [The Villa, alsoKnownAs, Aso Villa]
  • A. Aso Villa chosen
    Aso Villa is the official residence and office complex of the President of Nigeria, located in Abuja near the Aso Rock outcrop.
  • B. Tenri Stadium
    Tenri Stadium is a multi-purpose sports venue in Tenri, Nara Prefecture, Japan, primarily used for athletics and football matches.
  • C. Edogawa Stadium
    Edogawa Stadium is a multi-purpose sports venue in Tokyo, Japan, primarily used for athletics and football matches.
  • D. Setsoto Stadium
    Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public events.
  • E. Onikan Stadium
    Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9b8ef88190bce122f1b1800cd4 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.