Triple

T17239481
Position Surface form Disambiguated ID Type / Status
Subject Rensselaerswyck E418449 entity
Predicate capital P234 FINISHED
Object Beverwijck E55201 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: Beverwijck | Statement: [Rensselaerswyck, capital, Beverwijck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverwijck
Context triple: [Rensselaerswyck, capital, Beverwijck]
  • A. Beverwijck chosen
    Beverwijck was the 17th-century Dutch colonial settlement in present-day Albany, New York, that served as an important fur-trading and administrative center in New Netherland.
  • B. Westbroek
    Westbroek is a village in the Dutch province of Utrecht, known for its historic ribbon development and surrounding peat meadow landscape.
  • C. Lansingburgh
    Lansingburgh is a historic residential neighborhood in the northern part of Troy, New York, known for its 19th-century architecture and village-like character along the Hudson River.
  • D. Blauvelt, New York
    Blauvelt, New York is a suburban hamlet in Rockland County known for its residential neighborhoods and proximity to New York City.
  • E. Bredevoort
    Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfdc8688190aceb223c19a48781 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01793efa288190b63f641381566bb9 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.