Triple

T21257908
Position Surface form Disambiguated ID Type / Status
Subject Richland-Chambers Reservoir E523916 entity
Predicate yearImpounded P27957 FINISHED
Object 1987 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: 1987 | Statement: [Richland-Chambers Reservoir, yearImpounded, 1987]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: yearImpounded
Context triple: [Richland-Chambers Reservoir, yearImpounded, 1987]
  • A. impoundmentYear chosen
    Indicates the year in which something (typically property, funds, or resources) was officially impounded or taken into custody by an authority.
  • B. arrestYear
    Indicates the calendar year in which an arrest took place.
  • C. impoundedBy
    Indicates that an authority or agent has seized and taken legal custody of an entity, typically restricting its use or movement.
  • D. impounds
    Indicates the act of seizing and holding property, typically by an authority, so it is kept in custody and temporarily removed from the owner’s control.
  • E. suspensionYear
    Indicates the year in which a suspension (such as a ban, halt, or temporary discontinuation of activity) takes effect or is recorded.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e2f1d48190b566ab4d736fdbc4 completed April 21, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69e5f61239708190ab7b3c83ae848a0d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:58 p.m.