Triple

T3472524
Position Surface form Disambiguated ID Type / Status
Subject Borsele E73295 entity
Predicate near P350 FINISHED
Object Borssele nuclear power plant E361423 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: Borssele nuclear power plant | Statement: [Borsele, near, Borssele nuclear power plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borssele nuclear power plant
Context triple: [Borsele, near, Borssele nuclear power plant]
  • A. Borssele nuclear power plant chosen
    The Borssele nuclear power plant is a Dutch nuclear power station located in the province of Zeeland that generates electricity using a single pressurized water reactor.
  • B. Oranjewoud
    Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
  • C. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • D. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • E. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b2058081908558bdea4043b051 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.