Triple

T23533269
Position Surface form Disambiguated ID Type / Status
Subject State Courts Towers E576625 entity
Predicate locatedIn P40 FINISHED
Object Havelock Square NE NERFINISHED

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: Havelock Square | Statement: [State Courts Towers, locatedIn, Havelock Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havelock Square
Context triple: [State Courts Towers, locatedIn, Havelock Square]
  • A. Havelock Square chosen
    Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
  • B. Mallory Square
    Mallory Square is a famous waterfront plaza in Key West, Florida, renowned for its nightly sunset celebrations featuring street performers, vendors, and views over the Gulf of Mexico.
  • C. Eaton Square
    Eaton Square is an exclusive and expansive garden square in London’s Belgravia district, known for its grand terraces and affluent residents.
  • D. Forster Square
    Forster Square is a public square and transport hub in central Bradford, West Yorkshire, known for its adjacent railway station and nearby shopping and commercial developments.
  • E. Lechmere Square
    Lechmere Square is a major commercial and transit hub in Cambridge, Massachusetts, known for its shopping center and as a key stop on the MBTA Green Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac79800081908907bce55b9c68cf completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:10 p.m.