Triple

T5951247
Position Surface form Disambiguated ID Type / Status
Subject San Joaquin River Restoration Program E132401 entity
Predicate balancesObjective P9277 FINISHED
Object ecosystem restoration 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: ecosystem restoration | Statement: [San Joaquin River Restoration Program, balancesObjective, ecosystem restoration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: balancesObjective
Context triple: [San Joaquin River Restoration Program, balancesObjective, ecosystem restoration]
  • A. aimsToBalance chosen
    Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
  • B. equalizingGoalBy
    Indicates that one entity has the objective of reducing differences or disparities between itself and another entity.
  • C. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
  • D. axisObjective
    Indicates that an entity serves as a primary goal, target, or focal objective along a defined axis or strategic direction in a given context.
  • E. opponentObjective
    Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03ee10b308190afe38b904ae7c5f7 completed March 22, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69c0335806788190b6488ca8b73f7a63 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:02 p.m.