Triple

T4014113
Position Surface form Disambiguated ID Type / Status
Subject Versailles-Château–Rive-Gauche station E90713 entity
Predicate hasApproximateWalkingTimeTo P53938 FINISHED
Object about 10 minutes to the main entrance of the Palace of Versailles 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: about 10 minutes to the main entrance of the Palace of Versailles | Statement: [Versailles-Château–Rive-Gauche station, hasApproximateWalkingTimeTo, about 10 minutes to the main entrance of the Palace of Versailles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateWalkingTimeTo
Context triple: [Versailles-Château–Rive-Gauche station, hasApproximateWalkingTimeTo, about 10 minutes to the main entrance of the Palace of Versailles]
  • A. hasApproximateDrivingDistanceFrom
    Indicates that one entity is located at an estimated or approximate driving distance from another entity, typically measured along road routes rather than as a precise or exact value.
  • B. nearbyTransit
    Indicates that one location has public transportation options situated within a short distance or easy access from it.
  • C. endTimeApproximate
    Indicates that the recorded end time of an event or action is not exact but an approximate value.
  • D. hasStopNear
    Indicates that one entity has a stop or stopping point located in close proximity to another entity.
  • E. travelTimeCategory
    Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefaea76c48190add2e7cee180e8b1 completed March 9, 2026, 4:52 p.m.
Created at: March 9, 2026, 3:35 p.m.