Triple

T30171514
Position Surface form Disambiguated ID Type / Status
Subject Great Allegheny Passage E766932 entity
Predicate openedForThroughTravel P63330 FINISHED
Object 2006 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: 2006 | Statement: [Great Allegheny Passage, openedForThroughTravel, 2006]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedForThroughTravel
Context triple: [Great Allegheny Passage, openedForThroughTravel, 2006]
  • A. openedForThroughService
    Indicates that an entity has been made accessible or available specifically for use via a through-service connection or route, rather than as a standalone endpoint.
  • B. openedToPassengerTraffic
    Indicates that a transportation facility or route began operating and accepting passengers for regular use.
  • C. openedForThroughTraffic chosen
    Indicates that a route or segment is available and accessible for vehicles to pass through (not just for local access), allowing continuous through traffic.
  • D. openedForTram
    Indicates that something (such as a route, track, or facility) is available and in use for tram operations.
  • E. openedRouteThrough
    Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
  • 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_69f2247ba20c81909d34f2bfed706e1e completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 29, 2026, 7:24 p.m.