Triple

T11634999
Position Surface form Disambiguated ID Type / Status
Subject Arend Lijphart E276493 entity
Predicate placeOfBirth P1 FINISHED
Object Apeldoorn E269415 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: Apeldoorn | Statement: [Arend Lijphart, placeOfBirth, Apeldoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apeldoorn
Context triple: [Arend Lijphart, placeOfBirth, Apeldoorn]
  • A. Apeldoorn chosen
    Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
  • B. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • C. Helmond
    Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
  • D. Hoorn
    Hoorn is a historic port city in the Netherlands known for its role in the Dutch Golden Age and as a former base of the Dutch East India Company.
  • E. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25c0b00819095898d2b2445ecfb completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf2567c81909ab6054ade27afac completed May 10, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:39 p.m.