Triple

T16231181
Position Surface form Disambiguated ID Type / Status
Subject Eskişehirspor E393982 entity
Predicate shortName P43 FINISHED
Object ESK
ESK is the commonly used abbreviation for Eskişehirspor, a Turkish professional football club based in Eskişehir.
 E1119517 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: ESK | Statement: [Eskişehirspor, shortName, ESK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESK
Context triple: [Eskişehirspor, shortName, ESK]
  • A. ESK
    ESK is the vehicle registration code assigned to cars registered in Skierniewice, a city in central Poland.
  • B. Esk
    Esk is a small rural town in South East Queensland, Australia, known for serving as a local service hub for surrounding farming communities and for its proximity to Lake Wivenhoe and the Brisbane Valley rail trail.
  • C. ESKN
    ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • D. ESVK
    ESVK is a German ice hockey club based in Kaufbeuren, Bavaria, competing in the national league system.
  • E. Esks
    Esks is an informal former nickname for the Canadian Football League team now known as the Edmonton Elks.
  • 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: ESK
Triple: [Eskişehirspor, shortName, ESK]
Generated description
ESK is the commonly used abbreviation for Eskişehirspor, a Turkish professional football club based in Eskişehir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESK
Target entity description: ESK is the commonly used abbreviation for Eskişehirspor, a Turkish professional football club based in Eskişehir.
  • A. ESK chosen
    ESK is the vehicle registration code assigned to cars registered in Skierniewice, a city in central Poland.
  • B. Esk
    Esk is a small rural town in South East Queensland, Australia, known for serving as a local service hub for surrounding farming communities and for its proximity to Lake Wivenhoe and the Brisbane Valley rail trail.
  • C. ESKN
    ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • D. ESVK
    ESVK is a German ice hockey club based in Kaufbeuren, Bavaria, competing in the national league system.
  • E. Esks
    Esks is an informal former nickname for the Canadian Football League team now known as the Edmonton Elks.
  • F. None of above.

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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00098ea3e48190b0744f1eafab9ce2 completed May 10, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0009fb40a48190b82f6de80226d306 completed May 10, 2026, 4:30 a.m.
Created at: April 10, 2026, 5:04 a.m.