Triple

T14759660
Position Surface form Disambiguated ID Type / Status
Subject Paris–Montparnasse suburban lines E346822 entity
Predicate servesSuburbsDirection P12959 FINISHED
Object southwest of Paris 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: southwest of Paris | Statement: [Paris–Montparnasse suburban lines, servesSuburbsDirection, southwest of Paris]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesSuburbsDirection
Context triple: [Paris–Montparnasse suburban lines, servesSuburbsDirection, southwest of Paris]
  • A. isSuburbanRouteOf
    Indicates that a given route functions as a suburban segment or service line belonging to, or operating as part of, a larger primary route or network.
  • B. servesSuburbsOf
    Indicates that a service, route, or facility provides coverage or support to the suburban areas associated with a particular city or region.
  • C. routeDirectionB
    Indicates that one entity represents the direction or orientation of a route or path relative to another entity.
  • D. transportDirection
    Indicates the directional flow or route along which something is transported from an origin toward a destination.
  • E. servesDirection chosen
    Indicates that one entity provides service or functionality oriented toward, or in the direction of, another entity.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.