Triple

T6094736
Position Surface form Disambiguated ID Type / Status
Subject Derby Dam E135848 entity
Predicate relatedLegalIssues P4511 FINISHED
Object water rights disputes on the Truckee River 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: water rights disputes on the Truckee River | Statement: [Derby Dam, relatedLegalIssues, water rights disputes on the Truckee River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedLegalIssues
Context triple: [Derby Dam, relatedLegalIssues, water rights disputes on the Truckee River]
  • A. relatedLegalConcept
    Indicates that one legal concept is connected or associated with another through a relevant legal relationship or context.
  • B. relatedLegalProcess
    Indicates that there is an associated legal proceeding or action that is connected to, arises from, or is otherwise relevant to the referenced entity or event.
  • C. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • D. hasLegalIssue chosen
    Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
  • E. treatyOrLegalIssue
    Indicates a formal agreement, dispute, or matter governed by treaties or legal frameworks between parties.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a963bac8190bc0c33fef187875c completed March 22, 2026, 9:09 p.m.
PD Predicate disambiguation batch_69c049f5ac988190b62ba565153aaa35 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:12 p.m.