Triple

T5266916
Position Surface form Disambiguated ID Type / Status
Subject Harrison, New Jersey E118958 entity
Predicate hasRedevelopmentArea P26887 FINISHED
Object waterfront district LITERAL 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: waterfront district | Statement: [Harrison, New Jersey, hasRedevelopmentArea, waterfront district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRedevelopmentArea
Context triple: [Harrison, New Jersey, hasRedevelopmentArea, waterfront district]
  • A. hasRedevelopmentProgram
    Indicates that an entity is subject to or involved in a planned process of redevelopment, typically through an organized program or initiative.
  • B. partOfRedevelopmentOf
    Indicates that something is a component or phase within a larger redevelopment project or process.
  • C. urbanRedevelopmentArea chosen
    Indicates that a location is designated for concentrated urban renewal activities such as redevelopment, revitalization, or land-use transformation.
  • D. reopenedAfterRedevelopment
    Indicates that a place or facility was closed for redevelopment and subsequently opened again once the redevelopment was completed.
  • E. redevelopmentFor
    Indicates a relationship where one entity is intended, designated, or used for the redevelopment of another entity.
  • F. None of above.

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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7d5a23908190a24e79d1b29d6fcf completed March 20, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69bd77c71268819094f9f5203eed392d completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:51 p.m.