Triple

T7594498
Position Surface form Disambiguated ID Type / Status
Subject FC St. Gallen E179822 entity
Predicate previousStadiumName P29753 FINISHED
Object AFG Arena
AFG Arena is a modern football stadium in St. Gallen, Switzerland, that served as the home ground of FC St. Gallen.
E674754 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: AFG Arena | Statement: [FC St. Gallen, previousStadiumName, AFG Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFG Arena
Context triple: [FC St. Gallen, previousStadiumName, AFG Arena]
  • A. Shayba Arena
    Shayba Arena is an ice hockey and figure skating venue in Sochi, Russia, built for the 2014 Winter Olympics and Paralympics.
  • B. Rashid Stadium
    Rashid Stadium is a multi-purpose sports venue in Dubai, United Arab Emirates, best known for hosting football matches and serving as the home ground of Shabab Al Ahli Club.
  • C. Kassam Stadium
    Kassam Stadium is a football stadium in Oxford, England, best known as the home ground of Oxford United F.C.
  • D. T-Com Arena
    T-Com Arena was the former sponsored name of Bratislava’s main ice hockey and multi-purpose venue now known as Ondrej Nepela Arena.
  • E. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • 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: AFG Arena
Triple: [FC St. Gallen, previousStadiumName, AFG Arena]
Generated description
AFG Arena is a modern football stadium in St. Gallen, Switzerland, that served as the home ground of FC St. Gallen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AFG Arena
Target entity description: AFG Arena is a modern football stadium in St. Gallen, Switzerland, that served as the home ground of FC St. Gallen.
  • A. Shayba Arena
    Shayba Arena is an ice hockey and figure skating venue in Sochi, Russia, built for the 2014 Winter Olympics and Paralympics.
  • B. Rashid Stadium
    Rashid Stadium is a multi-purpose sports venue in Dubai, United Arab Emirates, best known for hosting football matches and serving as the home ground of Shabab Al Ahli Club.
  • C. Kassam Stadium
    Kassam Stadium is a football stadium in Oxford, England, best known as the home ground of Oxford United F.C.
  • D. T-Com Arena
    T-Com Arena was the former sponsored name of Bratislava’s main ice hockey and multi-purpose venue now known as Ondrej Nepela Arena.
  • E. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.