Triple

T8456862
Position Surface form Disambiguated ID Type / Status
Subject HSL-Zuid E199939 entity
Predicate hasStation P35 FINISHED
Object Rotterdam Centraal E167255 NE 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: Rotterdam Centraal | Statement: [HSL-Zuid, hasStation, Rotterdam Centraal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotterdam Centraal
Context triple: [HSL-Zuid, hasStation, Rotterdam Centraal]
  • A. Rotterdam Centraal station chosen
    Rotterdam Centraal station is a major railway terminal in the Dutch city of Rotterdam, serving as a key national and international transport hub.
  • B. Utrecht Centraal
    Utrecht Centraal is the largest and busiest railway station in the Netherlands, serving as a major national and international transport hub.
  • C. Leiden Centraal
    Leiden Centraal is the main railway station and transportation hub serving the Dutch city of Leiden in the Netherlands.
  • D. Amsterdam Centraal
    Amsterdam Centraal is the main railway hub of Amsterdam and one of the busiest train stations in the Netherlands, serving as a central gateway for national and international rail travel.
  • E. Den Haag Centraal railway station
    Den Haag Centraal railway station is the main railway hub of The Hague in the Netherlands, serving as a major national and regional transport interchange.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48f180c8190a71cf9d7248ade60 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39caf4bc8190a1850b2124684a2a completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:10 p.m.