Triple

T14774032
Position Surface form Disambiguated ID Type / Status
Subject Midden-Groningen E347206 entity
Predicate hasSettlement P1068 FINISHED
Object Muntendam E874690 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: Muntendam | Statement: [Midden-Groningen, hasSettlement, Muntendam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muntendam
Context triple: [Midden-Groningen, hasSettlement, Muntendam]
  • A. Muntendam chosen
    Muntendam is a village in the Dutch province of Groningen, now administratively part of the municipality of Midden-Groningen.
  • B. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • C. Vandamm
    Vandamm is a surname, often a variant spelling of "van Damm," associated with various individuals in arts, entertainment, and other fields.
  • D. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • E. Kropswolde
    Kropswolde is a village in the Dutch province of Groningen, known for its rural character and proximity to the Zuidlaardermeer lake.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfd26fc81909fba39c8705437ed completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.