Triple

T8956462
Position Surface form Disambiguated ID Type / Status
Subject Uccle E213481 entity
Predicate hasSubdivision P747 FINISHED
Object Calevoet
Calevoet is a neighborhood and railway stop located within the municipality of Uccle in the Brussels-Capital Region of Belgium.
E767449 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: Calevoet | Statement: [Uccle, hasSubdivision, Calevoet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calevoet
Context triple: [Uccle, hasSubdivision, Calevoet]
  • A. Wagenborgen
    Wagenborgen is a village in the Dutch province of Groningen, located within the municipality of Eemsdelta.
  • B. Heenvliet
    Heenvliet is a small historic town in the western Netherlands, known for its medieval castle ruins and rural setting within the province of South Holland.
  • C. Alweg
    Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
  • D. Kufri
    Kufri is a small hill station near Shimla in Himachal Pradesh, India, known for its scenic views, winter snowfall, and popular skiing and trekking opportunities.
  • E. Kamionna
    Kamionna is a village located in the Beskid Wyspowy mountain range in southern Poland, known for its scenic, hilly landscape.
  • 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: Calevoet
Triple: [Uccle, hasSubdivision, Calevoet]
Generated description
Calevoet is a neighborhood and railway stop located within the municipality of Uccle in the Brussels-Capital Region of Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calevoet
Target entity description: Calevoet is a neighborhood and railway stop located within the municipality of Uccle in the Brussels-Capital Region of Belgium.
  • A. Wagenborgen
    Wagenborgen is a village in the Dutch province of Groningen, located within the municipality of Eemsdelta.
  • B. Heenvliet
    Heenvliet is a small historic town in the western Netherlands, known for its medieval castle ruins and rural setting within the province of South Holland.
  • C. Alweg
    Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
  • D. Kufri
    Kufri is a small hill station near Shimla in Himachal Pradesh, India, known for its scenic views, winter snowfall, and popular skiing and trekking opportunities.
  • E. Kamionna
    Kamionna is a village located in the Beskid Wyspowy mountain range in southern Poland, known for its scenic, hilly landscape.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6728965881908e9f14aaee0c5a18 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc216ff2c819098056dff0de9479f completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc39465c48190811f56918fe48526 completed April 3, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3e6694c8190a03eb55a5b04df52 completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.