Triple

T9217136
Position Surface form Disambiguated ID Type / Status
Subject LADOT DASH network E221268 entity
Predicate serviceProviderType P86906 FINISHED
Object municipal transit operator 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: municipal transit operator | Statement: [LADOT DASH network, serviceProviderType, municipal transit operator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceProviderType
Context triple: [LADOT DASH network, serviceProviderType, municipal transit operator]
  • A. servicePatternType
    Indicates the type or category of service pattern that characterizes how a service is structured, scheduled, or delivered.
  • B. servicePatternOf
    Indicates that one entity is the service pattern (e.g., schedule, routing, or operational configuration) that defines or characterizes how another service-related entity operates.
  • C. serviceFor
    Indicates that one entity provides a service or performs functions on behalf of another entity.
  • D. serviceVariantOf
    Indicates that one service is a variant or alternative version of another, typically differing in configuration, features, or options while serving a similar core function.
  • E. serviceClass
    Indicates the classification or category of service associated with or provided by an entity in the relationship.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
PD Predicate disambiguation batch_69cc660ce23c81909c7bbe10f4a05f36 completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc687067fc81909da2d78fda0cdcfb completed April 1, 2026, 12:36 a.m.
Created at: March 30, 2026, 7:27 p.m.