Triple

T4173169
Position Surface form Disambiguated ID Type / Status
Subject Middlesex County E86410 entity
Predicate containsMunicipality P852 FINISHED
Object Cranbury E56890 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: Cranbury | Statement: [Middlesex County, containsMunicipality, Cranbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cranbury
Context triple: [Middlesex County, containsMunicipality, Cranbury]
  • A. Cranbury Township chosen
    Cranbury Township is a small, historic municipality in Middlesex County, New Jersey, known for its well-preserved village center and suburban-rural character.
  • B. Lanesborough
    Lanesborough is a small town in western Massachusetts known for its rural character and proximity to the Berkshire Mountains.
  • C. Titchfield
    Titchfield is a village in Hampshire, England, known for hosting a major Office for National Statistics site and for its historic parish and nearby Titchfield Abbey.
  • D. Westerleigh
    Westerleigh is a village and civil parish in South Gloucestershire, England, known for its rural character and proximity to Bristol.
  • E. Westerleigh
    Westerleigh is a primarily residential neighborhood on Staten Island in New York City, known for its suburban character and tree-lined streets.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e65b548190be095df62091b960 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f51cac88190b6e849181fb78938 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.