Triple

T3475338
Position Surface form Disambiguated ID Type / Status
Subject ASD E73360 entity
Predicate appliesTo P1129 FINISHED
Object Amsterdam Centraal E15162 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: Amsterdam Centraal | Statement: [ASD, appliesTo, Amsterdam Centraal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amsterdam Centraal
Context triple: [ASD, appliesTo, Amsterdam Centraal]
  • A. Amsterdam Centraal chosen
    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.
  • B. Rotterdam Centraal station
    Rotterdam Centraal station is a major railway terminal in the Dutch city of Rotterdam, serving as a key national and international transport hub.
  • C. Amsterdam Zuid station
    Amsterdam Zuid station is a major transport interchange in Amsterdam that serves as a key rail and metro hub for both regional and international connections.
  • D. 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.
  • E. Utrecht Centraal
    Utrecht Centraal is the largest and busiest railway station in the Netherlands, serving as a major national and international transport hub.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb593a388190b7786190deba96ed completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681586788190ade529f584b76396 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.