Triple

T3396900
Position Surface form Disambiguated ID Type / Status
Subject Owens Lake E71549 entity
Predicate restorationMeasure P49411 FINISHED
Object shallow flooding of lakebed areas 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: shallow flooding of lakebed areas | Statement: [Owens Lake, restorationMeasure, shallow flooding of lakebed areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restorationMeasure
Context triple: [Owens Lake, restorationMeasure, shallow flooding of lakebed areas]
  • A. restorationGoal
    Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
  • B. restorationProject
    Indicates a project whose purpose is to repair, renew, or return something to a previous or improved condition.
  • C. restorationFocus
    Indicates that the primary attention or effort is directed toward repairing, renewing, or returning something to a previous or improved state.
  • D. hasRestoration
    Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
  • E. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c4099081908a236376b4f86900 completed March 8, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69adadf705608190975423779430cc58 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb2e426b88190b82d9830149b142e completed March 8, 2026, 5:33 p.m.
Created at: March 8, 2026, 3:14 p.m.