Triple

T14740938
Position Surface form Disambiguated ID Type / Status
Subject Denfert-Rochereau metro station E346341 entity
Predicate hasNearbyBusConnections P34620 FINISHED
Object RATP bus lines on Place Denfert-Rochereau 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: RATP bus lines on Place Denfert-Rochereau | Statement: [Denfert-Rochereau metro station, hasNearbyBusConnections, RATP bus lines on Place Denfert-Rochereau]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyBusConnections
Context triple: [Denfert-Rochereau metro station, hasNearbyBusConnections, RATP bus lines on Place Denfert-Rochereau]
  • A. hasAdjacentBusStation
    Indicates that one location has a bus station situated directly next to or very near it.
  • B. hasPublicTransportConnection
    Indicates that there is an available public transportation link or service connecting the related entities.
  • C. operatorOfNearbyTransit
    Indicates that an entity operates or manages a public transit service located in close geographic proximity to another specified entity.
  • D. hasStopNear
    Indicates that one entity has a stop or stopping point located in close proximity to another entity.
  • E. hasPublicTransitRoute chosen
    Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.