Triple

T15319442
Position Surface form Disambiguated ID Type / Status
Subject Heeze-Leende E366248 entity
Predicate containsNatureArea P118095 FINISHED
Object Leenderbos
Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
E1153751 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: Leenderbos | Statement: [Heeze-Leende, containsNatureArea, Leenderbos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leenderbos
Context triple: [Heeze-Leende, containsNatureArea, Leenderbos]
  • A. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • B. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • C. Loenersloot
    Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
  • D. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • E. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • 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: Leenderbos
Triple: [Heeze-Leende, containsNatureArea, Leenderbos]
Generated description
Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leenderbos
Target entity description: Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
  • A. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • B. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • C. Loenersloot
    Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
  • D. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • E. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd356b881908f054b64eee6a371 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3dac6c81908eaa0aaad29113ee completed May 9, 2026, 10:23 a.m.
NEDg Description generation batch_69ff0c1171d4819099e0d0e1411059b2 completed May 9, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69ff10a360f8819098c8c9700b062478 completed May 9, 2026, 10:46 a.m.
Created at: April 10, 2026, 3:16 a.m.