Triple

T14157089
Position Surface form Disambiguated ID Type / Status
Subject Budapest Spas cPlc E350840 entity
Predicate shortName P43 FINISHED
Object BGYH Zrt.
BGYH Zrt. is a Budapest-based company that operates and manages the city’s historic thermal baths and spa facilities.
 E1083783 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: BGYH Zrt. | Statement: [Budapest Spas cPlc, shortName, BGYH Zrt.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BGYH Zrt.
Context triple: [Budapest Spas cPlc, shortName, BGYH Zrt.]
  • A. Budapesti Közlekedési Vállalat
    Budapesti Közlekedési Vállalat is the main public transport company of Budapest, responsible for operating the city’s extensive network of buses, trams, trolleybuses, and metro lines.
  • B. MVK Zrt.
    MVK Zrt. is the municipal public transport company operating bus and tram services in the city of Miskolc, Hungary.
  • C. BGY
    BGY is the IATA airport code for Milan Bergamo Airport, a major low-cost and regional air travel hub serving the Milan metropolitan area in northern Italy.
  • D. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • E. Magyar Telekom
    Magyar Telekom is Hungary’s leading telecommunications provider, offering mobile, fixed-line, and internet services as part of the Deutsche Telekom group.
  • 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: BGYH Zrt.
Triple: [Budapest Spas cPlc, shortName, BGYH Zrt.]
Generated description
BGYH Zrt. is a Budapest-based company that operates and manages the city’s historic thermal baths and spa facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BGYH Zrt.
Target entity description: BGYH Zrt. is a Budapest-based company that operates and manages the city’s historic thermal baths and spa facilities.
  • A. Budapesti Közlekedési Vállalat
    Budapesti Közlekedési Vállalat is the main public transport company of Budapest, responsible for operating the city’s extensive network of buses, trams, trolleybuses, and metro lines.
  • B. MVK Zrt.
    MVK Zrt. is the municipal public transport company operating bus and tram services in the city of Miskolc, Hungary.
  • C. BGY
    BGY is the IATA airport code for Milan Bergamo Airport, a major low-cost and regional air travel hub serving the Milan metropolitan area in northern Italy.
  • D. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • E. Magyar Telekom
    Magyar Telekom is Hungary’s leading telecommunications provider, offering mobile, fixed-line, and internet services as part of the Deutsche Telekom group.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ef4d80819098d210503f5d22e9 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd02cee5e0819086718893d1621481 completed May 7, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69fd063668f4819099d52bee7e7cdc32 completed May 7, 2026, 9:37 p.m.
Created at: April 10, 2026, 12:58 a.m.