Triple

T17605608
Position Surface form Disambiguated ID Type / Status
Subject Paris Square E428823 entity
Predicate hasEnglishName P3437 FINISHED
Object Paris 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: Paris Square | Statement: [Paris Square, hasEnglishName, Paris Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Square
Context triple: [Paris Square, hasEnglishName, Paris Square]
  • A. Paris Square chosen
    Paris Square is a central public square in Jerusalem known for its prominent fountain and frequent political demonstrations and gatherings.
  • B. Pery Square
    Pery Square is a historic Georgian terrace and civic area in Limerick, Ireland, known for its period architecture and cultural institutions.
  • C. Hamilton Square
    Hamilton Square is a prominent Georgian-style public square and civic center in Birkenhead, England, known for its historic architecture and surrounding public buildings.
  • D. Hermann Square
    Hermann Square is a prominent public plaza in downtown Houston that serves as the civic forecourt and gathering space in front of Houston City Hall.
  • E. Portman Square
    Portman Square is a historic Georgian garden square in Marylebone, central London, known for its elegant townhouses and private members’ clubs.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4c06a88190a0be2dec3d6056c4 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.