Triple

T5028809
Position Surface form Disambiguated ID Type / Status
Subject Salem Branch E113243 entity
Predicate hasRailTraffic P19355 FINISHED
Object limited 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: limited | Statement: [Salem Branch, hasRailTraffic, limited]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailTraffic
Context triple: [Salem Branch, hasRailTraffic, limited]
  • A. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • B. hasRailSystem
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • C. hasRailRoute
    Indicates that there exists a rail-based transportation route or connection between the related entities.
  • D. railwayTraffic chosen
    Indicates the presence, flow, or management of train movements along railway lines between locations.
  • E. hasRailFacility
    Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738f2cc88190a03eebf19e407411 completed March 20, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69bd71509e9c8190a60c1d8d04936a12 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:36 p.m.