Triple

T27162154
Position Surface form Disambiguated ID Type / Status
Subject China Railway Guangzhou Group E682688 entity
Predicate hasOperationalHub P49780 FINISHED
Object Guangzhou Railway Station 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: Guangzhou Railway Station | Statement: [China Railway Guangzhou Group, hasOperationalHub, Guangzhou Railway Station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOperationalHub
Context triple: [China Railway Guangzhou Group, hasOperationalHub, Guangzhou Railway Station]
  • A. operatedHub
    Indicates that one entity functions as and manages the operations of a central hub or facility for another entity.
  • B. hasPrimaryHub chosen
    Indicates that an entity is associated with or operates from a main or central hub location among potentially multiple hubs.
  • C. hasOperationalComponent
    Indicates that an entity includes, uses, or depends on another entity as a functional or operational part of its overall system or process.
  • D. hasHubFunction
    Indicates that an entity serves as a central hub or coordinating point for certain activities, connections, or functions within a system.
  • E. isBusyHub
    Indicates that a location or node functions as a central point of activity with a high volume of interactions, traffic, or connections.
  • 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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 27, 2026, 9:19 a.m.