Triple

T11130878
Position Surface form Disambiguated ID Type / Status
Subject Dison E263275 entity
Predicate hasSubdivision P747 FINISHED
Object Andrimont
Andrimont is a village in the municipality of Dison, located in the province of Liège in eastern Belgium.
E907732 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: Andrimont | Statement: [Dison, hasSubdivision, Andrimont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrimont
Context triple: [Dison, hasSubdivision, Andrimont]
  • A. Valfréjus
    Valfréjus is a French Alpine ski resort in the Savoie region, known for its family-friendly atmosphere, varied slopes, and easy access via the nearby town of Modane.
  • B. Ruetz
    Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
  • C. Arinsal
    Arinsal is a mountain village and ski resort in the parish of La Massana in Andorra, popular for winter sports and access to high Pyrenean peaks.
  • D. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • E. Meyrin
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • 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: Andrimont
Triple: [Dison, hasSubdivision, Andrimont]
Generated description
Andrimont is a village in the municipality of Dison, located in the province of Liège in eastern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrimont
Target entity description: Andrimont is a village in the municipality of Dison, located in the province of Liège in eastern Belgium.
  • A. Valfréjus
    Valfréjus is a French Alpine ski resort in the Savoie region, known for its family-friendly atmosphere, varied slopes, and easy access via the nearby town of Modane.
  • B. Ruetz
    Ruetz is a river in the Stubai Valley of Tyrol, Austria, known for its alpine course through the Stubai Alps before joining the Sill River.
  • C. Arinsal
    Arinsal is a mountain village and ski resort in the parish of La Massana in Andorra, popular for winter sports and access to high Pyrenean peaks.
  • D. Buochs
    Buochs is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and proximity to the Alps in central Switzerland.
  • E. Meyrin
    Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441e6b72881908f8288e99df0cb7c completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.