Triple

T535496
Position Surface form Disambiguated ID Type / Status
Subject South Waterfront E12316 entity
Predicate redevelopmentOf P7886 FINISHED
Object former industrial land 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: former industrial land | Statement: [South Waterfront, redevelopmentOf, former industrial land]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: redevelopmentOf
Context triple: [South Waterfront, redevelopmentOf, former industrial land]
  • A. reopenedAfterRedevelopment
    Indicates that a place or facility was closed for redevelopment and subsequently opened again once the redevelopment was completed.
  • B. revitalizationEffort
    Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
  • C. urbanDevelopment chosen
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • D. postReformDevelopment
    Indicates the development or changes that occur after a reform has been implemented.
  • E. largelyRebuilt
    Indicates that an entity has been substantially reconstructed or renovated, with most of its original structure replaced or significantly altered.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b51ff08190a39f4168fd9a7ddf completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.