Triple

T14185708
Position Surface form Disambiguated ID Type / Status
Subject Rotterdam Metro E351568 entity
Predicate majorStation P1071 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: [Rotterdam Metro, majorStation, Rotterdam Centraal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotterdam Centraal
Context triple: [Rotterdam Metro, majorStation, 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64789fc88190a3a000e4ee8fe83e completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:03 a.m.