Triple

T20096656
Position Surface form Disambiguated ID Type / Status
Subject Santiago Island E496416 entity
Predicate hasRestorationEfforts P11189 FINISHED
Object eradication of invasive goats 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: eradication of invasive goats | Statement: [Santiago Island, hasRestorationEfforts, eradication of invasive goats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRestorationEfforts
Context triple: [Santiago Island, hasRestorationEfforts, eradication of invasive goats]
  • A. hasPreservationEfforts
    Indicates that actions or measures are being taken to protect, maintain, or restore the condition or existence of something over time.
  • B. 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.
  • C. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • D. revitalizationEffort
    Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
  • E. hasRestorationApproach
    Indicates the method or strategy used to restore or rehabilitate something to a desired 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666cc02481908780a415b19c05a2 completed April 20, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69e54cf788188190a46cc49c9ce7617f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:25 p.m.