Triple

T1504052
Position Surface form Disambiguated ID Type / Status
Subject Randstad metropolitan region E33858 entity
Predicate hasTransportNetwork P12181 FINISHED
Object extensive rail network 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: extensive rail network | Statement: [Randstad metropolitan region, hasTransportNetwork, extensive rail network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransportNetwork
Context triple: [Randstad metropolitan region, hasTransportNetwork, extensive rail network]
  • A. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • B. hasTransportRoute
    Indicates that there exists a designated transportation connection or route linking one entity to another.
  • C. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • D. hasGroundTransportation
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • E. transportNetwork chosen
    Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90584b8b881908e112c7e59163812 completed March 5, 2026, 4:24 a.m.
PD Predicate disambiguation batch_69a88727ce48819089b482cdc25453d1 completed March 4, 2026, 7:25 p.m.
Created at: March 4, 2026, 7:24 p.m.