Triple

T2299770
Position Surface form Disambiguated ID Type / Status
Subject Pekela E51701 entity
Predicate borderedBy P224 FINISHED
Object Veendam E69455 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: Veendam | Statement: [Pekela, borderedBy, Veendam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veendam
Context triple: [Pekela, borderedBy, Veendam]
  • A. Veendam chosen
    Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
  • B. Wessum
    Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
  • C. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • D. Eemshaven
    Eemshaven is a major seaport and energy hub in the north of the Netherlands, known for its power plants, data centers, and offshore wind connections.
  • E. Brecqhou
    Brecqhou is a small, privately owned island off the coast of Sark in the English Channel, known for its exclusive residence and limited public access.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5ec3c948190b47ea763812a1cf5 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960ae538819095c66b91952800b7 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.