Triple

T35098280
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles E1012928 entity
Predicate hasInfrastructureDependency P1022 FINISHED
Object Colorado River Aqueduct system NE NERFINISHED

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: Colorado River Aqueduct system | Statement: [Los Angeles, hasInfrastructureDependency, Colorado River Aqueduct system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInfrastructureDependency
Context triple: [Los Angeles, hasInfrastructureDependency, Colorado River Aqueduct system]
  • A. hasDependency chosen
    Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
  • B. hasInfrastructureType
    Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
  • C. hasInfrastructureCondition
    Indicates the state or quality of an entity’s physical infrastructure, such as its condition, integrity, or level of maintenance.
  • D. hasInfrastructureAbove
    Indicates that one entity’s infrastructure is physically located above or over another entity.
  • E. requiresInfrastructureManagement
    Indicates that one entity depends on another to provide or perform infrastructure management in order for it to function or be fulfilled.
  • 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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a0056174c908190be99c91a70393e47 completed May 10, 2026, 9:55 a.m.
PD Predicate disambiguation batch_6a00538e7e08819091ecd4316cd641a1 completed May 10, 2026, 9:44 a.m.
Created at: May 3, 2026, 4:01 p.m.