Triple

T15642636
Position Surface form Disambiguated ID Type / Status
Subject Shifen Waterfall E376103 entity
Predicate approximateTravelTimeFromTaipei P109944 FINISHED
Object about one hour by public transport 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 one hour by public transport | Statement: [Shifen Waterfall, approximateTravelTimeFromTaipei, about one hour by public transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateTravelTimeFromTaipei
Context triple: [Shifen Waterfall, approximateTravelTimeFromTaipei, about one hour by public transport]
  • A. transportProject
    Indicates a project whose primary purpose is to plan, build, improve, or manage transportation systems, services, or infrastructure.
  • B. approximateDrivingTime
    Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
  • C. hasApproximateWalkingTimeTo
    Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
  • D. nearbyTransit
    Indicates that one location has public transportation options situated within a short distance or easy access from it.
  • E. approximateTripDuration chosen
    Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed23d688190bea996f90989d406 completed April 16, 2026, 2:52 a.m.
PD Predicate disambiguation batch_69deda890140819082608931e993dd61 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:15 a.m.