Triple

T11116927
Position Surface form Disambiguated ID Type / Status
Subject Uithuizen E262909 entity
Predicate previousMunicipality P5557 FINISHED
Object Eemsmond E306931 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: Eemsmond | Statement: [Uithuizen, previousMunicipality, Eemsmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eemsmond
Context triple: [Uithuizen, previousMunicipality, Eemsmond]
  • A. Eemsmond chosen
    Eemsmond was a former municipality in the province of Groningen in the Netherlands, located in the far north along the Wadden Sea coast.
  • B. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • C. IJsselmonde
    IJsselmonde is an island and borough in the Dutch province of South Holland, located near Rotterdam and bordered by several major rivers.
  • D. Dijver
    Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
  • E. Sappemeer
    Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa81d8c81908a387b56cbcc9128 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8084a88190918f1f94ca0119ed completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.