Triple

T12063210
Position Surface form Disambiguated ID Type / Status
Subject A44 motorway E287225 entity
Predicate passesNear P416 FINISHED
Object Oegstgeest E208647 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: Oegstgeest | Statement: [A44 motorway, passesNear, Oegstgeest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oegstgeest
Context triple: [A44 motorway, passesNear, Oegstgeest]
  • A. Oegstgeest chosen
    Oegstgeest is a suburban town in the western Netherlands, known for its leafy residential character and proximity to the city of Leiden.
  • B. Zierikzee
    Zierikzee is a historic Dutch town on the island of Schouwen-Duiveland in Zeeland, known for its well-preserved medieval center and maritime heritage.
  • C. Noorderzijlvest
    Noorderzijlvest is a Dutch regional water authority responsible for managing water levels, flood protection, and water quality in parts of the northern Netherlands.
  • D. Londerzeel
    Londerzeel is a municipality in the Flemish Brabant province of Belgium, known for its residential character and proximity to both Brussels and Antwerp.
  • E. Kop van Schouwen
    Kop van Schouwen is a large coastal dune and forest nature reserve on the island of Schouwen-Duiveland in the Dutch province of Zeeland, known for its varied landscapes and rich biodiversity.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9d94b48190b026d5a0ad3d6ce7 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:48 p.m.