Triple

T5083172
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 50 E114571 entity
Predicate hasStation P35 FINISHED
Object Van der Madeweg E165423 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: Van der Madeweg | Statement: [Amsterdam Metro line 50, hasStation, Van der Madeweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van der Madeweg
Context triple: [Amsterdam Metro line 50, hasStation, Van der Madeweg]
  • A. Van der Madeweg chosen
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • B. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • D. De Horst
    De Horst is a village in the Dutch province of Gelderland, known as part of the municipality of Berg en Dal near the city of Nijmegen.
  • E. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb135912c81909dd32d21b604e1b1 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.