Triple

T1654635
Position Surface form Disambiguated ID Type / Status
Subject Benchill E35769 entity
Predicate hasRoadTransport P1298 FINISHED
Object local roads 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: local roads | Statement: [Benchill, hasRoadTransport, local roads]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRoadTransport
Context triple: [Benchill, hasRoadTransport, local roads]
  • A. hasGroundTransportation chosen
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • B. hasTransportRoute
    Indicates that there exists a designated transportation connection or route linking one entity to another.
  • C. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • D. roadwayCarries
    Indicates that a roadway serves as a route that supports or conveys a particular transportation facility, traffic flow, or designated use.
  • E. onRoad
    Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69a907cff53c8190b424f088478d3e2c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.