Triple

T3301662
Position Surface form Disambiguated ID Type / Status
Subject Peter Vermes E69347 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Rába ETO Győr
Rába ETO Győr is a Hungarian football club based in Győr that has been one of the country’s notable teams, competing in the top tiers of Hungarian football.
E347046 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: Rába ETO Győr | Statement: [Peter Vermes, memberOfSportsTeam, Rába ETO Győr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rába ETO Győr
Context triple: [Peter Vermes, memberOfSportsTeam, Rába ETO Győr]
  • A. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • B. Tatabánya
    Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
  • C. Gyöngyös
    Gyöngyös is a historic town in northern Hungary known as a gateway to the Mátra mountain range and its surrounding wine-producing region.
  • D. Arados
    Arados is the ancient name of Arwad, a historic Phoenician island city off the coast of modern-day Syria.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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: Rába ETO Győr
Triple: [Peter Vermes, memberOfSportsTeam, Rába ETO Győr]
Generated description
Rába ETO Győr is a Hungarian football club based in Győr that has been one of the country’s notable teams, competing in the top tiers of Hungarian football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rába ETO Győr
Target entity description: Rába ETO Győr is a Hungarian football club based in Győr that has been one of the country’s notable teams, competing in the top tiers of Hungarian football.
  • A. Parádfürdő
    Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
  • B. Tatabánya
    Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
  • C. Gyöngyös
    Gyöngyös is a historic town in northern Hungary known as a gateway to the Mátra mountain range and its surrounding wine-producing region.
  • D. Arados
    Arados is the ancient name of Arwad, a historic Phoenician island city off the coast of modern-day Syria.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3df7f548190ada47f742df46545 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b3006293248190952c5a53d9afa4e7 completed March 12, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_69b313ddfb1081909719dd584846c6ed completed March 12, 2026, 7:28 p.m.
Created at: March 8, 2026, 3:11 p.m.