Triple

T2952850
Position Surface form Disambiguated ID Type / Status
Subject MBTA fare gates E79859 entity
Predicate sometimesBypassedBy P12840 FINISHED
Object fare evasion 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: fare evasion | Statement: [MBTA fare gates, sometimesBypassedBy, fare evasion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sometimesBypassedBy
Context triple: [MBTA fare gates, sometimesBypassedBy, fare evasion]
  • A. hasBypass chosen
    Indicates that one entity includes or is equipped with an alternative route or mechanism that circumvents or avoids another entity or process.
  • B. typicallySpared
    Indicates that an entity is usually not affected by, excluded from, or left untouched by a particular action, process, or condition.
  • C. mayResultIn
    Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
  • D. passesUnder
    Indicates that one entity moves or extends beneath another entity, typically crossing below it without direct contact.
  • E. mayReject
    Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
PD Predicate disambiguation batch_69ad960a70ac8190816b5ae3e8631031 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:57 p.m.