Triple

T7594469
Position Surface form Disambiguated ID Type / Status
Subject FC St. Gallen E179822 entity
Predicate nickname P55 FINISHED
Object Espen
Espen is the traditional nickname of Swiss football club FC St. Gallen, reflecting its local identity and heritage.
E674751 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: Espen | Statement: [FC St. Gallen, nickname, Espen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espen
Context triple: [FC St. Gallen, nickname, Espen]
  • A. Erling
    Erling is a masculine given name of Scandinavian origin, commonly used in Norway and other Nordic countries.
  • B. Ornes
    Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
  • C. Einar
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • D. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • E. Jesper
    Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • 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: Espen
Triple: [FC St. Gallen, nickname, Espen]
Generated description
Espen is the traditional nickname of Swiss football club FC St. Gallen, reflecting its local identity and heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Espen
Target entity description: Espen is the traditional nickname of Swiss football club FC St. Gallen, reflecting its local identity and heritage.
  • A. Erling
    Erling is a masculine given name of Scandinavian origin, commonly used in Norway and other Nordic countries.
  • B. Ornes
    Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
  • C. Einar
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • D. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • E. Jesper
    Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • 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.