Triple

T11704070
Position Surface form Disambiguated ID Type / Status
Subject Felvidék E278196 entity
Predicate containsHistoricalRegion P13711 FINISHED
Object Liptó
Liptó is a historical region in northern Hungary (now largely in Slovakia), known for its mountainous landscape and traditional Hungarian and Slovak cultural heritage.
 E948761 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: Liptó | Statement: [Felvidék, containsHistoricalRegion, Liptó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liptó
Context triple: [Felvidék, containsHistoricalRegion, Liptó]
  • A. Poltár
    Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
  • B. Lipnik
    Lipnik is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • D. Lehel
    Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
  • E. Kékes
    Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
  • 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: Liptó
Triple: [Felvidék, containsHistoricalRegion, Liptó]
Generated description
Liptó is a historical region in northern Hungary (now largely in Slovakia), known for its mountainous landscape and traditional Hungarian and Slovak cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liptó
Target entity description: Liptó is a historical region in northern Hungary (now largely in Slovakia), known for its mountainous landscape and traditional Hungarian and Slovak cultural heritage.
  • A. Poltár
    Poltár is a small town in central Slovakia known historically for its glassmaking industry and location within the Banská Bystrica administrative region.
  • B. Lipnik
    Lipnik is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Sajó
    Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
  • D. Lehel
    Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
  • E. Kékes
    Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1304cf94c819084b47fa260ca3a9f completed April 28, 2026, 10:10 p.m.
NEDg Description generation batch_69f138b5f8988190a7ff95095eafd0b1 completed April 28, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69f14e9b30a88190a054961a2f7fc80d completed April 29, 2026, 12:19 a.m.
Created at: April 8, 2026, 9:40 p.m.