Triple

T16899117
Position Surface form Disambiguated ID Type / Status
Subject Szentendre Open-Air Ethnographic Museum E424387 entity
Predicate abbreviation P43 FINISHED
Object Skanzen
Skanzen is Hungary’s largest open-air ethnographic museum in Szentendre, showcasing traditional rural architecture, folk culture, and everyday life from various regions of the country.
 E1239277 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: Skanzen | Statement: [Szentendre Open-Air Ethnographic Museum, abbreviation, Skanzen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skanzen
Context triple: [Szentendre Open-Air Ethnographic Museum, abbreviation, Skanzen]
  • A. Scaniarinken
    Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
  • B. Skanstull
    Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
  • C. Skaugum
    Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
  • D. Skrad
    Skrad is a small mountain town in Croatia’s Gorski Kotar region, known for its forested landscapes, hiking trails, and nearby natural attractions such as canyons and waterfalls.
  • E. Skalka
    Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • 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: Skanzen
Triple: [Szentendre Open-Air Ethnographic Museum, abbreviation, Skanzen]
Generated description
Skanzen is Hungary’s largest open-air ethnographic museum in Szentendre, showcasing traditional rural architecture, folk culture, and everyday life from various regions of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skanzen
Target entity description: Skanzen is Hungary’s largest open-air ethnographic museum in Szentendre, showcasing traditional rural architecture, folk culture, and everyday life from various regions of the country.
  • A. Scaniarinken
    Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
  • B. Skanstull
    Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
  • C. Skaugum
    Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
  • D. Skrad
    Skrad is a small mountain town in Croatia’s Gorski Kotar region, known for its forested landscapes, hiking trails, and nearby natural attractions such as canyons and waterfalls.
  • E. Skalka
    Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c830f7ac8190ae25232f88e9774b completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c8aa5aac8190be5f79f992c8a0ec completed May 10, 2026, 6:04 p.m.
Created at: April 10, 2026, 5:29 a.m.