Triple

T1062037
Position Surface form Disambiguated ID Type / Status
Subject Escharen E22927 entity
Predicate locatedIn P40 FINISHED
Object municipality of Grave E122412 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: municipality of Grave | Statement: [Escharen, locatedIn, municipality of Grave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: municipality of Grave
Context triple: [Escharen, locatedIn, municipality of Grave]
  • A. municipality of Grave chosen
    The municipality of Grave was a former local government area in the Dutch province of North Brabant, known for its historic fortified town of Grave along the Maas River.
  • B. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • C. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • D. Dutch garrison of Grave
    The Dutch garrison of Grave was the defending military force of the Dutch Republic stationed in the fortified town of Grave during the late 18th century.
  • E. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f531f481909a40558811379992 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a14b548190a796e49c545c9a9e completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.