Triple

T6792309
Position Surface form Disambiguated ID Type / Status
Subject Burlington County E155963 entity
Predicate contains P35 FINISHED
Object Florence Township E262968 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: Florence Township | Statement: [Burlington County, contains, Florence Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Township
Context triple: [Burlington County, contains, Florence Township]
  • A. Florence Township chosen
    Florence Township is a New Jersey municipality along the Delaware River known for its residential communities, industrial areas, and service by regional rail transit.
  • B. Waterford Township
    Waterford Township is a municipality in Camden County, New Jersey, known for its suburban communities and proximity to the Pine Barrens.
  • C. Redford Township
    Redford Township is a suburban community in southeastern Michigan that borders the city of Detroit and functions largely as a residential area within the Detroit metropolitan region.
  • D. Avon Township
    Avon Township is a civil township located within Lorain County in the state of Ohio, United States.
  • E. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ae4d1c819089ac6b3abf11a341 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7582b5a0c819085e6b8d07d6ab2f7 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:15 p.m.