Triple

T23497828
Position Surface form Disambiguated ID Type / Status
Subject Emmerdennen forest E571749 entity
Predicate locatedNear P294 FINISHED
Object town of Emmen NE NERFINISHED

How this triple was built (3 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: town of Emmen | Statement: [Emmerdennen forest, locatedNear, town of Emmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Emmen
Context triple: [Emmerdennen forest, locatedNear, town of Emmen]
  • A. Schwamendingen
    Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
  • B. Emmering
    Emmering is a small municipality in Upper Bavaria, Germany, located in the Fürstenfeldbruck district west of Munich.
  • C. Welkenraedt town
    Welkenraedt town is the central urban settlement and administrative hub of the municipality of Welkenraedt in the province of Liège, Belgium.
  • D. Hemmingen
    Hemmingen is a municipality in Germany, known as a small town that engages in international town twinning partnerships.
  • E. Hedingen
    Hedingen is a small municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern within the Albis region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: town of Emmen
Target entity description: The town of Emmen is a municipality in the province of Drenthe in the northeastern Netherlands, known for its green surroundings, modern town center, and the Wildlands Adventure Zoo.
  • A. Schwamendingen
    Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
  • B. Emmering
    Emmering is a small municipality in Upper Bavaria, Germany, located in the Fürstenfeldbruck district west of Munich.
  • C. Welkenraedt town
    Welkenraedt town is the central urban settlement and administrative hub of the municipality of Welkenraedt in the province of Liège, Belgium.
  • D. Hemmingen
    Hemmingen is a municipality in Germany, known as a small town that engages in international town twinning partnerships.
  • E. Hedingen
    Hedingen is a small municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern within the Albis region.
  • F. None of above. chosen

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.