Triple

T10221146
Position Surface form Disambiguated ID Type / Status
Subject Midden-Groningen E242581 entity
Predicate hasFormerConstituentMunicipality P5557 FINISHED
Object Menterwolde E866411 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: Menterwolde | Statement: [Midden-Groningen, hasFormerConstituentMunicipality, Menterwolde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menterwolde
Context triple: [Midden-Groningen, hasFormerConstituentMunicipality, Menterwolde]
  • A. Menterwolde chosen
    Menterwolde was a former municipality in the province of Groningen in the Netherlands that later became part of the municipality of Midden-Groningen.
  • B. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • C. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • D. Beersel
    Beersel is a municipality in the Flemish Brabant province of Belgium, known for its historic Beersel Castle and traditional lambic and gueuze breweries.
  • E. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f860048190bb20f7d3bf87f347 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d54c32c8190b175a30c7c905cd2 completed April 10, 2026, 2:46 p.m.
Created at: April 6, 2026, 11:09 a.m.