Triple

T22414442
Position Surface form Disambiguated ID Type / Status
Subject Maashorst E554080 entity
Predicate formedFrom P402 FINISHED
Object Landerd NE NERFINISHED

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: Landerd | Statement: [Maashorst, formedFrom, Landerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landerd
Context triple: [Maashorst, formedFrom, Landerd]
  • A. Landerd chosen
    Landerd is a former municipality in the Dutch province of North Brabant, known for its rural character and small villages such as Zeeland, Schaijk, and Reek.
  • B. Harlingerland
    Harlingerland is a historic coastal region in East Frisia in northwestern Germany, known for its North Sea landscape, dike systems, and traditional Frisian culture.
  • C. Elten
    Elten is a historic village in western Germany near the Dutch border, known for its medieval heritage and the former Imperial Abbey that once dominated the area.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Langerak
    Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15945486081908eb3a7b0441c0ef1 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.