Triple

T8659060
Position Surface form Disambiguated ID Type / Status
Subject Xiamen–Shenzhen Railway E205499 entity
Predicate significantlyReduces P9925 FINISHED
Object travel time between Fujian and Guangdong coastal cities 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: travel time between Fujian and Guangdong coastal cities | Statement: [Xiamen–Shenzhen Railway, significantlyReduces, travel time between Fujian and Guangdong coastal cities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantlyReduces
Context triple: [Xiamen–Shenzhen Railway, significantlyReduces, travel time between Fujian and Guangdong coastal cities]
  • A. reduces chosen
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • B. reducedPowerOf
    Indicates that one entity has a diminished or weakened level of power, authority, or effectiveness relative to another or to its previous state.
  • C. reductionOfScope
    Indicates a relationship where the extent, coverage, or range of something is decreased or limited compared to its previous or potential scope.
  • D. minimizesRoleOf
    Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
  • E. cutDown
    Indicates that an agent causes something standing or elevated (such as a tree or structure) to fall or be reduced by cutting.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486ece68819089c74bdf98b64490 completed March 31, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69cc4564e018819081036722f3e42a71 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:30 p.m.