Triple

T12878013
Position Surface form Disambiguated ID Type / Status
Subject Shijiazhuang–Taiyuan High-Speed Railway E308013 entity
Predicate travelTimeReduction P71530 FINISHED
Object reduces Shijiazhuang–Taiyuan travel to about 1 hour 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: reduces Shijiazhuang–Taiyuan travel to about 1 hour | Statement: [Shijiazhuang–Taiyuan High-Speed Railway, travelTimeReduction, reduces Shijiazhuang–Taiyuan travel to about 1 hour]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: travelTimeReduction
Context triple: [Shijiazhuang–Taiyuan High-Speed Railway, travelTimeReduction, reduces Shijiazhuang–Taiyuan travel to about 1 hour]
  • A. reducedTravelTimeFrom
    Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
  • B. travelTimeCategory
    Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
  • C. timeSavedComparedToOlderRoutes chosen
    Indicates the amount of time saved by using the current route compared to older or previously used routes.
  • D. significantlyShortensRouteBetween
    Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
  • E. travelTimeTypical
    Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97c7f91d08190aac2f6419d3ba992 completed April 10, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69d96fa55b888190ab1612e93c41aec4 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:38 p.m.