Triple

T21982613
Position Surface form Disambiguated ID Type / Status
Subject Lingewaal E542877 entity
Predicate borderedBy P224 FINISHED
Object Neerijnen 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: Neerijnen | Statement: [Lingewaal, borderedBy, Neerijnen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neerijnen
Context triple: [Lingewaal, borderedBy, Neerijnen]
  • A. Neerijnen chosen
    Neerijnen was a former municipality in the Dutch province of Gelderland, known for its rural landscape, historic estates, and location along the river Waal before being merged into West Betuwe.
  • B. Nazairien
    Nazairien is the French demonym for an inhabitant of the coastal city of Saint-Nazaire in western France.
  • C. Nazaire
    Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
  • D. Nige
    Nige is a familiar shortened form of the given name Nigel, often used as an informal nickname.
  • E. Balanda
    Balanda is the former name of the Russian town now known as Krasnoarmeysk in Saratov Oblast.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270629588190aea32fbe630e4cba completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.