Triple

T9481565
Position Surface form Disambiguated ID Type / Status
Subject Davenport, California E228651 entity
Predicate cementPlantStatus P5870 FINISHED
Object closed 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: closed | Statement: [Davenport, California, cementPlantStatus, closed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cementPlantStatus
Context triple: [Davenport, California, cementPlantStatus, closed]
  • A. hasIndustrialPlant
    Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
  • B. classStatus
    Indicates the current academic or enrollment standing of an entity within a class or course context.
  • C. operatingStatus chosen
    Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
  • D. cultivationStatus
    Indicates the current state or condition of an entity with respect to being cultivated, such as whether and how it is actively grown or managed.
  • E. maintenanceStatus
    Indicates the current state or condition of an entity with respect to its maintenance activities, such as whether it is pending, in progress, completed, or overdue.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69cca561e6b0819090aa795f3c3a2083 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:55 p.m.