Triple

T9857791
Position Surface form Disambiguated ID Type / Status
Subject Beauvechain E239630 entity
Predicate hasSubdivision P747 FINISHED
Object L’Écluse
L’Écluse is a village in the municipality of Beauvechain in Walloon Brabant, Belgium.
E825719 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: L’Écluse | Statement: [Beauvechain, hasSubdivision, L’Écluse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L’Écluse
Context triple: [Beauvechain, hasSubdivision, L’Écluse]
  • A. Le Vanneur
    Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
  • B. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • C. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • D. The Bridge at Moret-sur-Loing
    The Bridge at Moret-sur-Loing is an Impressionist landscape painting by Alfred Sisley depicting the picturesque bridge and riverside town of Moret-sur-Loing in France.
  • E. L'Umbracle
    L'Umbracle is an open-air landscaped walkway and sculpture garden in Valencia, Spain, featuring contemporary art and Mediterranean vegetation within the City of Arts and Sciences complex.
  • 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: L’Écluse
Triple: [Beauvechain, hasSubdivision, L’Écluse]
Generated description
L’Écluse is a village in the municipality of Beauvechain in Walloon Brabant, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L’Écluse
Target entity description: L’Écluse is a village in the municipality of Beauvechain in Walloon Brabant, Belgium.
  • A. Le Vanneur
    Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
  • B. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • C. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • D. The Bridge at Moret-sur-Loing
    The Bridge at Moret-sur-Loing is an Impressionist landscape painting by Alfred Sisley depicting the picturesque bridge and riverside town of Moret-sur-Loing in France.
  • E. L'Umbracle
    L'Umbracle is an open-air landscaped walkway and sculpture garden in Valencia, Spain, featuring contemporary art and Mediterranean vegetation within the City of Arts and Sciences complex.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb399bd8081908281d1735cc3909f completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e43b2de881909e00f6701d1c7b54 completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e5204f748190b1f56ee5469828a2 completed April 5, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1e598243481909278cb3c911ce3db completed April 5, 2026, 4:31 a.m.
Created at: March 30, 2026, 8:35 p.m.