Triple

T7770707
Position Surface form Disambiguated ID Type / Status
Subject Metro Line 54 E179060 entity
Predicate hasStation P35 FINISHED
Object Amstel E4259 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: Amstel | Statement: [Metro Line 54, hasStation, Amstel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amstel
Context triple: [Metro Line 54, hasStation, Amstel]
  • A. Amstel
    The Amstel is a river in the Netherlands that flows through Amsterdam and has given its name to the city and a well-known Dutch beer brand.
  • B. Amsterdam Amstel chosen
    Amsterdam Amstel is a major railway and metro station in Amsterdam that serves as an important transport hub connecting regional and local lines.
  • C. Ouder-Amstel
    Ouder-Amstel is a municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
  • D. Nieuwer-Amstel
    Nieuwer-Amstel was a former municipality in the province of North Holland in the Netherlands, largely corresponding to the area of the modern city of Amstelveen.
  • E. Knooppunt Amstel
    Knooppunt Amstel is a major motorway interchange in Amsterdam that connects the A10 ring road with other key highways and routes into the city.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70438ca2481909114b0c434717109 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ead45c8190847365d8549eefab completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.