Triple

T15346161
Position Surface form Disambiguated ID Type / Status
Subject Hoeksche Waard E366923 entity
Predicate mergerOfFormerMunicipality P5557 FINISHED
Object Cromstrijen E788554 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: Cromstrijen | Statement: [Hoeksche Waard, mergerOfFormerMunicipality, Cromstrijen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cromstrijen
Context triple: [Hoeksche Waard, mergerOfFormerMunicipality, Cromstrijen]
  • A. Cromstrijen chosen
    Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
  • B. Kromme Mijdrecht
    Kromme Mijdrecht is a small river in the Netherlands that serves as one of the headwaters of the Amstel.
  • C. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • D. Kropswolde
    Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
  • E. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a67adf88190bbe15040761d235e completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:17 a.m.