Triple

T6182869
Position Surface form Disambiguated ID Type / Status
Subject Velence E137984 entity
Predicate partOf P40 FINISHED
Object Lake Velence resort area
The Lake Velence resort area is a popular Hungarian holiday destination known for its warm, shallow lake, beaches, and recreational facilities around the town of Velence.
 E573928 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: Lake Velence resort area | Statement: [Velence, partOf, Lake Velence resort area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lake Velence resort area
Context triple: [Velence, partOf, Lake Velence resort area]
  • A. Vykhino
    Vykhino is a Moscow Metro station serving the Tagansko–Krasnopresnenskaya Line in the southeastern part of the city.
  • B. Yessentuki
    Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
  • C. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • D. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • E. Shymbulak ski resort
    Shymbulak ski resort is a major ski and snowboard destination in the mountains near Almaty, Kazakhstan, known for its modern facilities and scenic alpine terrain.
  • 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: Lake Velence resort area
Triple: [Velence, partOf, Lake Velence resort area]
Generated description
The Lake Velence resort area is a popular Hungarian holiday destination known for its warm, shallow lake, beaches, and recreational facilities around the town of Velence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lake Velence resort area
Target entity description: The Lake Velence resort area is a popular Hungarian holiday destination known for its warm, shallow lake, beaches, and recreational facilities around the town of Velence.
  • A. Vykhino
    Vykhino is a Moscow Metro station serving the Tagansko–Krasnopresnenskaya Line in the southeastern part of the city.
  • B. Yessentuki
    Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
  • C. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • D. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • E. Shymbulak ski resort
    Shymbulak ski resort is a major ski and snowboard destination in the mountains near Almaty, Kazakhstan, known for its modern facilities and scenic alpine terrain.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c14426f414819084bd3bafa81d6c00 completed March 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c144b45a148190a95095d7141ddeb0 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:19 p.m.