Triple

T9633308
Position Surface form Disambiguated ID Type / Status
Subject Kawainui Marsh E232857 entity
Predicate restorationActivity P44155 FINISHED
Object native habitat restoration 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: native habitat restoration projects | Statement: [Kawainui Marsh, restorationActivity, native habitat restoration projects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationActivity
Context triple: [Kawainui Marsh, restorationActivity, native habitat restoration projects]
  • A. restorationProject chosen
    Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
  • B. restorationEvent
    Indicates an event in which something previously altered, damaged, or degraded is returned to a former or improved state.
  • C. restorationFocus
    Indicates that the primary attention or effort is directed toward repairing, renewing, or returning something to a previous or improved state.
  • D. hasRestorationActivities
    Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
  • E. restorationType
    Indicates the specific kind or category of restoration applied to an entity, such as the method, scope, or approach used to return it to a prior or improved state.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b28ce2c819086d3c6e4e6ea95a7 completed April 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69ccd5acfa5c8190aaba3cf548723604 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:11 p.m.