Triple

T23497849
Position Surface form Disambiguated ID Type / Status
Subject Emmerdennen forest E571749 entity
Predicate near P350 FINISHED
Object Emmen city center 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: Emmen city center | Statement: [Emmerdennen forest, near, Emmen city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmen city center
Context triple: [Emmerdennen forest, near, Emmen city center]
  • A. Emmen city centre chosen
    Emmen city centre is the main commercial and cultural hub of the Dutch city of Emmen, featuring shops, restaurants, and public spaces that attract both locals and visitors.
  • B. Kempele
    Kempele is a rapidly growing municipality in Northern Ostrobothnia, Finland, located just south of the city of Oulu.
  • C. City of Kauniainen
    The City of Kauniainen is a small, affluent municipality completely surrounded by Espoo in the Helsinki metropolitan area of Finland, known for its high quality of life and strong public services.
  • D. Munkkiniemi
    Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
  • E. Riihimäki
    Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.