Triple

T10760329
Position Surface form Disambiguated ID Type / Status
Subject Pekelderdiep E253808 entity
Predicate flowsThrough P225 FINISHED
Object Boven Pekela E255273 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: Boven Pekela | Statement: [Pekelderdiep, flowsThrough, Boven Pekela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boven Pekela
Context triple: [Pekelderdiep, flowsThrough, Boven Pekela]
  • A. Boven Pekela chosen
    Boven Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
  • B. Oude Pekela
    Oude Pekela is a village in the province of Groningen in the northeastern Netherlands, known historically for its peat industry and canal-side settlement.
  • C. Nieuwe Pekela
    Nieuwe Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
  • D. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • E. Pulhof
    Pulhof is a residential neighborhood in the Antwerp district of Berchem, Belgium, known for its quiet streets and urban 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff78257b88190942308719d9fa6a6 completed April 15, 2026, 8:39 p.m.
Created at: April 8, 2026, 9:16 p.m.