Triple

T33109607
Position Surface form Disambiguated ID Type / Status
Subject former Pennsylvania Railroad Chestnut Hill Branch E847290 entity
Predicate servedCommutersTo P35023 FINISHED
Object central Philadelphia terminals 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: central Philadelphia terminals | Statement: [former Pennsylvania Railroad Chestnut Hill Branch, servedCommutersTo, central Philadelphia terminals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedCommutersTo
Context triple: [former Pennsylvania Railroad Chestnut Hill Branch, servedCommutersTo, central Philadelphia terminals]
  • A. servedTravelersBetween
    Indicates that an entity provided transportation service for travelers moving between two specified locations.
  • B. servedByTransportation
    Indicates that a location or entity is provided access or connection by a particular mode or service of transportation.
  • C. commuterServiceTo chosen
    Indicates a transportation service that regularly carries commuters to a specified destination.
  • D. hasCommuterServices
    Indicates that a location or facility provides transportation services specifically intended for regular commuters, such as daily or frequent travelers between home and work or school.
  • E. usedByCommuters
    Indicates that something is regularly utilized by people traveling between home and work or school.
  • 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_69f3495686508190b76bf20fa5e00bf7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff5285ed74819097e6e2a9084a079a completed May 9, 2026, 3:28 p.m.
PD Predicate disambiguation batch_69ff51fbe28881908ac8417dff9db81a completed May 9, 2026, 3:25 p.m.
Created at: May 1, 2026, 1:27 a.m.