Triple

T625674
Position Surface form Disambiguated ID Type / Status
Subject Roosevelt Field Mall E15812 entity
Predicate originalConfiguration P2093 FINISHED
Object open-air shopping center 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: open-air shopping center | Statement: [Roosevelt Field Mall, originalConfiguration, open-air shopping center]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalConfiguration
Context triple: [Roosevelt Field Mall, originalConfiguration, open-air shopping center]
  • A. originalForm
    Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
  • B. configuration chosen
    Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
  • C. originalText
    Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
  • D. originalType
    Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
  • E. originalNetwork
    Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e574444819087999404f3e3ffd9 completed March 1, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69a49d0069d0819087c83b608f6fc053 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.