Triple

T24638090
Position Surface form Disambiguated ID Type / Status
Subject North American commuter railroads E609868 entity
Predicate typicalRightOfWay P156874 FINISHED
Object mainline railroad tracks 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: mainline railroad tracks | Statement: [North American commuter railroads, typicalRightOfWay, mainline railroad tracks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRightOfWay
Context triple: [North American commuter railroads, typicalRightOfWay, mainline railroad tracks]
  • A. hasTypicalRightOfWay
    Indicates that one party customarily has the legal or expected priority to proceed or pass before another in a given situation.
  • B. rightOfWayUsedFor
    Indicates that a particular right of way is utilized for a specific purpose, activity, or type of use.
  • C. someRightOfWayUsedBy
    Indicates that a particular right of way is utilized or traversed by a specified user, route, or transport entity.
  • D. hasRightOfWay
    Indicates that one entity is entitled to proceed or act before another in a shared space or interaction, without having to yield.
  • E. ownerOfRightOfWay
    Indicates that one entity holds the legal right to pass through or use a specific path, route, or area on another entity’s property.
  • F. None of above. chosen

Provenance (4 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_69e2c4d28f848190ac38c400060e943d completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be064ff88190b5d9e5ec75a41242 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
PDg Predicate description generation batch_69f2b8b8bc5881908df49c0b07110246 completed April 30, 2026, 2:04 a.m.
Created at: April 18, 2026, 2:33 a.m.