Triple

T271093
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Pennsylvania Transportation Authority E5633 entity
Predicate fareSystem P395 FINISHED
Object SEPTA Key E6321 NE 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: SEPTA Key | Statement: [Southeastern Pennsylvania Transportation Authority, fareSystem, SEPTA Key]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEPTA Key
Context triple: [Southeastern Pennsylvania Transportation Authority, fareSystem, SEPTA Key]
  • A. SEPTA Key chosen
    SEPTA Key is a contactless smart fare card and payment system used across Philadelphia’s SEPTA public transit network.
  • B. SmarTrip
    SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
  • C. MetroCard
    MetroCard is a magnetic stripe payment card formerly used as the primary method for paying fares on New York City’s public transit system, including subways and buses.
  • D. TAP card
    The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
  • E. Presto card
    The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25db17e8c8190a6ebcadd8a0abf4d completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f51aeac81908c6d398e650dc315 completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.