Triple

T13355550
Position Surface form Disambiguated ID Type / Status
Subject Overveen E318681 entity
Predicate hasNearbyBeachResort P95431 FINISHED
Object Bloemendaal aan Zee E82295 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: Bloemendaal aan Zee | Statement: [Overveen, hasNearbyBeachResort, Bloemendaal aan Zee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bloemendaal aan Zee
Context triple: [Overveen, hasNearbyBeachResort, Bloemendaal aan Zee]
  • A. Bloemendaal chosen
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • B. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • C. Scheveningen
    Scheveningen is a popular seaside resort district of The Hague in the Netherlands, known for its long sandy beach, pier, and promenade along the North Sea coast.
  • D. Malieveld
    Malieveld is a large open field and event grounds in The Hague, Netherlands, known for hosting demonstrations, festivals, and public gatherings.
  • E. Loosduinen
    Loosduinen is a district in the southwest of The Hague in the Netherlands, historically a separate village known for its former abbey and more rural character.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f4bdfdc819094d3945280ed8d30 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.