Triple

T4844495
Position Surface form Disambiguated ID Type / Status
Subject Neptune Pool E108255 entity
Predicate restorationReason P59732 FINISHED
Object drought-related water conservation 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: drought-related water conservation | Statement: [Neptune Pool, restorationReason, drought-related water conservation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationReason
Context triple: [Neptune Pool, restorationReason, drought-related water conservation]
  • A. restorationGoal
    Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
  • B. restorationMeasure
    Indicates that an action or intervention is undertaken to repair, rehabilitate, or return something to a previous 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. restoredBy
    Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
  • E. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • F. None of above. chosen

Provenance (4 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e01872c81909607010c10538ad1 completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2375a4819098e16acb982c8fab completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6dfff1488190a32bbb615bfab970 completed March 20, 2026, 3:55 p.m.
Created at: March 20, 2026, 1:25 p.m.