Triple

T36930347
Position Surface form Disambiguated ID Type / Status
Subject Bicentennial Ring proposal E913461 entity
Predicate hasSpatialTypology P36280 FINISHED
Object urban ring 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: urban ring | Statement: [Bicentennial Ring proposal, hasSpatialTypology, urban ring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpatialTypology
Context triple: [Bicentennial Ring proposal, hasSpatialTypology, urban ring]
  • A. hasSpatialConcept
    Indicates a relationship where one entity is associated with, defined by, or characterized through a particular spatial concept or spatial configuration.
  • B. arealTypology
    Indicates a typological relationship based on geographic or areal distribution, showing how linguistic features are shared or patterned across regions.
  • C. spatialHierarchy
    Indicates a spatial relationship in which one entity is positioned within, above, below, or otherwise hierarchically organized relative to another in physical space.
  • D. spatialProperty chosen
    Indicates a relationship where one entity has a specific spatial characteristic, such as position, size, orientation, or geometric configuration in space, relative to a reference frame or other entities.
  • E. proposesTypologyOf
    Indicates that one entity puts forward or formulates a systematic classification or typology concerning 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_69f76e896c988190880c130e01303dd4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: May 3, 2026, 4:13 p.m.