Triple

T1232208
Position Surface form Disambiguated ID Type / Status
Subject Kahoʻolawe E26466 entity
Predicate restorationProgram P11189 FINISHED
Object erosion control projects 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: erosion control projects | Statement: [Kahoʻolawe, restorationProgram, erosion control projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationProgram
Context triple: [Kahoʻolawe, restorationProgram, erosion control projects]
  • A. restorationEvent
    Indicates an event in which something previously altered, damaged, or degraded is returned to a former or improved state.
  • B. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • C. hasRestorationActivities chosen
    Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
  • D. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • E. reconstructionOrRestorationDate
    Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5b40208190b115a6a344402caf completed March 1, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.