Triple

T23296279
Position Surface form Disambiguated ID Type / Status
Subject Media Distancia E590179 entity
Predicate typicalServiceDistance P93586 FINISHED
Object 100–300 km 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: 100–300 km | Statement: [Media Distancia, typicalServiceDistance, 100–300 km]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalServiceDistance
Context triple: [Media Distancia, typicalServiceDistance, 100–300 km]
  • A. typicalLinkDistance chosen
    Indicates the usual or characteristic distance that typically separates two linked or related entities.
  • B. distanceProvidedBy
    Indicates that a specific distance value is supplied or made available by a particular source or provider.
  • C. 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.
  • D. typicalOffPeakServiceTo
    Indicates the usual or standard off-peak (non-peak time) service pattern that operates to a given destination.
  • E. isFartherFromCityCenterThan
    Indicates that one location is at a greater distance from the city center than another location.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cec9e88190b83cfd53a6455e0f completed April 29, 2026, 5:27 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 5:03 p.m.