Triple

T15462411
Position Surface form Disambiguated ID Type / Status
Subject Lawrence station E371935 entity
Predicate servesCommunity P82 FINISHED
Object Village of Lawrence E671860 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: Village of Lawrence | Statement: [Lawrence station, servesCommunity, Village of Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Village of Lawrence
Context triple: [Lawrence station, servesCommunity, Village of Lawrence]
  • A. Village of Lawrence chosen
    The Village of Lawrence is an affluent suburban community on Long Island’s South Shore, known as part of Nassau County’s Five Towns area.
  • B. Village of Warren
    The Village of Warren was an earlier municipal incarnation of what later became the city of Warren, Michigan.
  • C. Village of Franklin
    The Village of Franklin is a suburban community in southeastern Wisconsin known for its residential neighborhoods, parks, and proximity to the Milwaukee metropolitan area.
  • D. Village of Almont
    The Village of Almont is a small incorporated community in southeastern Michigan known for its historic downtown and rural residential character.
  • E. Village of Morse
    The Village of Morse is a small rural municipality in southwestern Saskatchewan, Canada, known for its agricultural community and prairie landscape.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cff942081908a2f5351079666a3 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:32 a.m.