Triple

T19088239
Position Surface form Disambiguated ID Type / Status
Subject Glossop E467210 entity
Predicate hasLandmark P105 FINISHED
Object Norfolk 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: Norfolk Square | Statement: [Glossop, hasLandmark, Norfolk Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norfolk Square
Context triple: [Glossop, hasLandmark, Norfolk Square]
  • A. Norfolk Square chosen
    Norfolk Square is a central public square and gathering place in the town of Glossop in Derbyshire, England.
  • B. Havelock Square
    Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
  • C. Northampton Square
    Northampton Square is the central campus site of City, University of London, housing many of its key academic buildings and facilities.
  • D. Chesterfield Square
    Chesterfield Square is a residential neighborhood in the South Los Angeles region of Los Angeles, California, known for its urban character and community-focused revitalization efforts.
  • E. Georgetown Square
    Georgetown Square is the historic downtown district of Georgetown, Texas, known for its preserved Victorian-era architecture, local shops, restaurants, and community events.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34981648190a89b006831846940 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.