Triple

T11288678
Position Surface form Disambiguated ID Type / Status
Subject De Marne E267264 entity
Predicate hadSettlement P16159 FINISHED
Object Wehe-den Hoorn E266404 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: Wehe-den Hoorn | Statement: [De Marne, hadSettlement, Wehe-den Hoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wehe-den Hoorn
Context triple: [De Marne, hadSettlement, Wehe-den Hoorn]
  • A. Wehe-den Hoorn chosen
    Wehe-den Hoorn is a small village in the Dutch province of Groningen, known for its historic churches and traditional rural character.
  • B. Westzaan
    Westzaan is a village in the Dutch province of North Holland, known for its historic peatlands and traditional Zaan region architecture.
  • C. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • D. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • E. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.