Triple

T4746850
Position Surface form Disambiguated ID Type / Status
Subject Trinity Square E105379 entity
Predicate hasNameInLanguage P15 FINISHED
Object Trinity Square (English) E105379 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: Trinity Square (English) | Statement: [Trinity Square, hasNameInLanguage, Trinity Square (English)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinity Square (English)
Context triple: [Trinity Square, hasNameInLanguage, Trinity Square (English)]
  • A. Trinity Square chosen
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • B. Holy Trinity Square
    Holy Trinity Square is a historic public square in Budapest’s Castle District, known for its Baroque Holy Trinity Column and proximity to landmarks like Matthias Church and Buda Castle.
  • C. Wright Square
    Wright Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • D. King Square
    King Square is a public square located in the historic coastal city of Brunswick, Georgia.
  • E. Queen’s Square
    Queen’s Square is a residential neighborhood within Belize City, Belize.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c3fcb081909b1fe867b4adac8b completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a46fd608190a81b13d0f687d4ed completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.