Triple

T35098269
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles E1012928 entity
Predicate servedByUtility P201381 FINISHED
Object Metropolitan Water District of Southern California 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: Metropolitan Water District of Southern California | Statement: [Los Angeles, servedByUtility, Metropolitan Water District of Southern California]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedByUtility
Context triple: [Los Angeles, servedByUtility, Metropolitan Water District of Southern California]
  • A. servedByService
    Indicates that something is provided, handled, or fulfilled by a particular service.
  • B. municipalUtilityAssetOf
    Indicates that a given asset is owned, managed, or operated by a municipal utility of the referenced municipality.
  • C. electrificationServedBy
    Indicates that the electrification of a system, area, or infrastructure is provided, supported, or enabled by a specified source, service, or entity.
  • D. typeOfUtility
    Indicates that one entity is a specific kind or category of utility associated with another entity.
  • E. servedByServiceVia
    Indicates that something receives service or is fulfilled through a specific service acting as the intermediary or delivery mechanism.
  • 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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ffef812da48190b875a7376b24f92d completed May 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69ffedecd580819097851b1473fdd6ed completed May 10, 2026, 2:31 a.m.
PDg Predicate description generation batch_69ffef8003c081909ec2413b4ea08d43 completed May 10, 2026, 2:37 a.m.
Created at: May 3, 2026, 4:01 p.m.