Triple

T4041169
Position Surface form Disambiguated ID Type / Status
Subject Market Street (San Francisco) E83949 entity
Predicate hasModePriority P6865 FINISHED
Object transit 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: transit | Statement: [Market Street (San Francisco), hasModePriority, transit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModePriority
Context triple: [Market Street (San Francisco), hasModePriority, transit]
  • A. hasPrecedence
    Indicates that one entity occurs, is considered, or is applied before another in order, priority, or importance.
  • B. upgradePriorityBasedOn
    Indicates that the priority level of something is increased or adjusted according to the status, attributes, or importance of another specified factor or entity.
  • C. hasAccessMode chosen
    Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
  • D. hasHigherStyleThan
    Indicates that one entity’s style is considered superior or more fashionable than another’s.
  • E. hasLowerPrecedenceThan
    Indicates that one item is ranked or ordered with a lower priority or importance compared to another item.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3a9314819095dcf47675eedb48 completed March 9, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69aef900386481909d04555a9ec9b0e3 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:37 p.m.