Triple

T33533621
Position Surface form Disambiguated ID Type / Status
Subject St. Mark’s-in-the-Bouwerie Towers project E858861 entity
Predicate hasPlannedRegion P285 FINISHED
Object New York state NE NERFINISHED

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: New York state | Statement: [St. Mark’s-in-the-Bouwerie Towers project, hasPlannedRegion, New York state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedRegion
Context triple: [St. Mark’s-in-the-Bouwerie Towers project, hasPlannedRegion, New York state]
  • A. hasPlannedDistrict
    Indicates that an entity is associated with or contains a district that has been formally planned or designated according to an organized development scheme.
  • B. hasPlannedSectors
    Indicates that an entity is associated with specific sectors that have been identified or designated in advance for future activity, development, or focus.
  • C. hasRegion chosen
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. hasPlannedCity
    Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
  • E. partOfPlanningRegion
    Indicates that one entity is included within, or belongs to, a larger designated planning region.
  • 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_69f34978caf4819083f90eba4944d8e8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: May 1, 2026, 1:39 a.m.