Triple

T3472503
Position Surface form Disambiguated ID Type / Status
Subject Borsele E73295 entity
Predicate hasVillage P4011 FINISHED
Object Heinkenszand E316588 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: Heinkenszand | Statement: [Borsele, hasVillage, Heinkenszand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinkenszand
Context triple: [Borsele, hasVillage, Heinkenszand]
  • A. Heinkenszand chosen
    Heinkenszand is a village in the Dutch province of Zeeland that serves as a local center within the South Beveland region.
  • B. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • C. Honselersdijk
    Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
  • D. Ooijpolder
    Ooijpolder is a Dutch riverine polder and nature area near Nijmegen, known for its scenic floodplains, wetlands, and rich birdlife along the Waal River.
  • E. 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.
  • 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_69b402ca92ac819081fd3b3c49a13e0a completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:17 p.m.