Triple

T15704558
Position Surface form Disambiguated ID Type / Status
Subject Eyserbosweg E380673 entity
Predicate locatedOn P40 FINISHED
Object Eyserbos
Eyserbos is a wooded hill area in the Dutch province of Limburg, known for its steep cycling climb and scenic forested landscape.
E1174405 NE FINISHED

How this triple was built (4 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: Eyserbos | Statement: [Eyserbosweg, locatedOn, Eyserbos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eyserbos
Context triple: [Eyserbosweg, locatedOn, Eyserbos]
  • A. Estinnes
    Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
  • B. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • C. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • D. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • E. Waarbeke
    Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eyserbos
Triple: [Eyserbosweg, locatedOn, Eyserbos]
Generated description
Eyserbos is a wooded hill area in the Dutch province of Limburg, known for its steep cycling climb and scenic forested landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eyserbos
Target entity description: Eyserbos is a wooded hill area in the Dutch province of Limburg, known for its steep cycling climb and scenic forested landscape.
  • A. Estinnes
    Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
  • B. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • C. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • D. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • E. Waarbeke
    Waarbeke is a small village in the Flemish region of Belgium, situated within the municipality of Geraardsbergen in East Flanders.
  • F. None of above. chosen

Provenance (5 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6fc3608190a85b25755f5345db completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f05d648190a0c73b60dc027287 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:45 a.m.