Triple

T12495947
Position Surface form Disambiguated ID Type / Status
Subject Park Drive bridges E298683 entity
Predicate hasMultipleStructures P62241 FINISHED
Object true 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: true | Statement: [Park Drive bridges, hasMultipleStructures, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMultipleStructures
Context triple: [Park Drive bridges, hasMultipleStructures, true]
  • A. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • B. hasStructureCount
    Indicates the number of structures associated with or contained by a given entity.
  • C. mayHaveStructure
    Indicates that an entity is allowed or able to possess a particular internal organization, configuration, or structural form, though not necessarily required to do so.
  • D. hasMultiple chosen
    Indicates that an entity is associated with more than one instance or occurrence of another related entity.
  • E. hasExtendedStructure
    Indicates that an entity possesses an additional or elongated structural component beyond its basic or standard form.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:57 p.m.