Triple

T2355189
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam metropolitan area E47536 entity
Predicate hasPart P35 FINISHED
Object Ouder-Amstel E172716 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: Ouder-Amstel | Statement: [Amsterdam metropolitan area, hasPart, Ouder-Amstel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouder-Amstel
Context triple: [Amsterdam metropolitan area, hasPart, Ouder-Amstel]
  • A. Ouder-Amstel chosen
    Ouder-Amstel is a municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
  • B. 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.
  • C. Amsterdam Amstel
    Amsterdam Amstel is a major railway and metro station in Amsterdam that serves as an important transport hub connecting regional and local lines.
  • D. Amstel brand
    Amstel brand is a Dutch beer brand best known for its lagers and international presence, produced under the ownership of Heineken.
  • E. Amstel River
    The Amstel River is a historic waterway in the Netherlands that flows through and gives its name to the city of Amsterdam.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963660108190b58f3288a5b3f96e completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:54 p.m.