Triple

T36154577
Position Surface form Disambiguated ID Type / Status
Subject Qingdao–Taiyuan High-Speed Railway E1045691 entity
Predicate significantlyReducesTravelTimeAcross P90509 FINISHED
Object Shandong NE NERFINISHED

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: Shandong | Statement: [Qingdao–Taiyuan High-Speed Railway, significantlyReducesTravelTimeAcross, Shandong]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantlyReducesTravelTimeAcross
Context triple: [Qingdao–Taiyuan High-Speed Railway, significantlyReducesTravelTimeAcross, Shandong]
  • A. reducedTravelTimeFrom chosen
    Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
  • B. 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.
  • C. travelTimeAdvantage
    Indicates that one option provides a shorter or more favorable travel time compared to another.
  • D. travelTimeCategory
    Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
  • E. facilitatesTravelWithin
    Indicates that one entity enables or makes it easier for another entity to move or travel within a specific area or region.
  • 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_69f76e38903c8190a52887620f90aabe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fbc9d1dba881908c399b8e1dc13ce2 completed May 6, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:08 p.m.