Triple

T6554005
Position Surface form Disambiguated ID Type / Status
Subject Martigny E152398 entity
Predicate hasSportsFacility P105 FINISHED
Object Stade d’Octodure
Stade d’Octodure is a sports stadium in Martigny, Switzerland, primarily used for football and athletics events.
E607631 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: Stade d’Octodure | Statement: [Martigny, hasSportsFacility, Stade d’Octodure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stade d’Octodure
Context triple: [Martigny, hasSportsFacility, Stade d’Octodure]
  • A. Stade de la Licorne
    Stade de la Licorne is a modern football stadium in Amiens, France, known for hosting the home matches of Amiens SC.
  • B. Stade de la Tuilière
    Stade de la Tuilière is a modern football stadium in Lausanne, Switzerland, primarily known as the home ground of FC Lausanne-Sport.
  • C. Stade Bauer
    Stade Bauer is a historic football stadium in Saint-Ouen-sur-Seine, France, best known as the longtime home ground of Red Star FC.
  • D. Stade Auguste-Bonal
    Stade Auguste-Bonal is a football stadium in Montbéliard, France, best known as the long-time home ground of FC Sochaux-Montbéliard.
  • E. Stade Olympique de la Pontaise
    Stade Olympique de la Pontaise is a historic multi-purpose stadium in Lausanne, Switzerland, known for hosting football matches, athletics events, and international competitions.
  • 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: Stade d’Octodure
Triple: [Martigny, hasSportsFacility, Stade d’Octodure]
Generated description
Stade d’Octodure is a sports stadium in Martigny, Switzerland, primarily used for football and athletics events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stade d’Octodure
Target entity description: Stade d’Octodure is a sports stadium in Martigny, Switzerland, primarily used for football and athletics events.
  • A. Stade de la Licorne
    Stade de la Licorne is a modern football stadium in Amiens, France, known for hosting the home matches of Amiens SC.
  • B. Stade de la Tuilière
    Stade de la Tuilière is a modern football stadium in Lausanne, Switzerland, primarily known as the home ground of FC Lausanne-Sport.
  • C. Stade Bauer
    Stade Bauer is a historic football stadium in Saint-Ouen-sur-Seine, France, best known as the longtime home ground of Red Star FC.
  • D. Stade Auguste-Bonal
    Stade Auguste-Bonal is a football stadium in Montbéliard, France, best known as the long-time home ground of FC Sochaux-Montbéliard.
  • E. Stade Olympique de la Pontaise
    Stade Olympique de la Pontaise is a historic multi-purpose stadium in Lausanne, Switzerland, known for hosting football matches, athletics events, and international competitions.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e5b236888190b108de51c730179a completed March 27, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7cc21548190b302e2e31f9cadd0 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:51 p.m.