Triple

T34959860
Position Surface form Disambiguated ID Type / Status
Subject Sai Ying Pun E1008222 entity
Predicate openedTransportInfrastructure P193962 FINISHED
Object Sai Ying Pun station in 2015 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: Sai Ying Pun station in 2015 | Statement: [Sai Ying Pun, openedTransportInfrastructure, Sai Ying Pun station in 2015]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedTransportInfrastructure
Context triple: [Sai Ying Pun, openedTransportInfrastructure, Sai Ying Pun station in 2015]
  • A. shareTransportInfrastructure
    Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
  • B. operatorOfTransportInfrastructure
    Indicates that an entity operates, manages, or runs a specific piece of transport infrastructure.
  • C. usedTransportationInfrastructure
    Indicates that an entity made use of some form of transportation infrastructure (such as roads, railways, or ports) to enable movement or transit.
  • D. typeOfTransportInfrastructure
    Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
  • E. isTransportInfrastructureIn
    Indicates that a piece of transport infrastructure (such as a road, railway, or airport) is located within or belongs to a specified geographic or administrative area.
  • F. None of above. chosen

Provenance (4 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
PDg Predicate description generation batch_69fd5bf49288819098a12202411cba4f completed May 8, 2026, 3:43 a.m.
Created at: May 3, 2026, 4 p.m.