Triple

T2427016
Position Surface form Disambiguated ID Type / Status
Subject Utrecht Centraal E53552 entity
Predicate connectsTo P845 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: [Utrecht Centraal, connectsTo, Rotterdam Centraal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotterdam Centraal
Context triple: [Utrecht Centraal, connectsTo, 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17864e9881909b32b70d55028016 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:42 p.m.