Triple

T7201599
Position Surface form Disambiguated ID Type / Status
Subject Poplar Island E168757 entity
Predicate restorationMethod P19129 FINISHED
Object placement of dredged material 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: placement of dredged material | Statement: [Poplar Island, restorationMethod, placement of dredged material]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationMethod
Context triple: [Poplar Island, restorationMethod, placement of dredged material]
  • A. restorationProject
    Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
  • B. restorationMeasure
    Indicates that an action or intervention is undertaken to repair, rehabilitate, or return something to a previous or improved state.
  • C. recoveryMethod chosen
    Indicates the method or process by which something is restored, retrieved, or brought back to a previous or functional state.
  • D. restorationReason
    Indicates the reason or justification for which something that was previously removed, disabled, or altered has been restored to its former state.
  • E. restorationGoal
    Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94971508190bb38184c9af2fe51 completed March 27, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69c6e757fed4819091b0a096e3befc3a completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:52 p.m.