Triple

T2882547
Position Surface form Disambiguated ID Type / Status
Subject Burghley House park E59429 entity
Predicate locatedNear P294 FINISHED
Object Stamford E306293 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: Stamford | Statement: [Burghley House park, locatedNear, Stamford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stamford
Context triple: [Burghley House park, locatedNear, Stamford]
  • A. Stamford chosen
    Stamford is a historic market town in eastern England renowned for its well-preserved medieval and Georgian architecture.
  • B. Stamford, Connecticut
    Stamford, Connecticut is a major city in southwestern Connecticut known as a key financial and corporate hub within the New York metropolitan area.
  • C. West Haven
    West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
  • D. Hamden
    Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
  • E. Bridgeport
    Bridgeport is a historic, working-class neighborhood on Chicago’s South Side known for its strong ethnic communities and proximity to the city’s major sports venues.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02c238881908f7a349563c388bf completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69c71a548f8081909e347a1c7cd4e9fc completed March 28, 2026, 12:01 a.m.
Created at: March 6, 2026, 10:03 p.m.