Triple

T10093368
Position Surface form Disambiguated ID Type / Status
Subject Anna Cave E215799 entity
Predicate hasNameInHungarian P27628 FINISHED
Object Anna-barlang
Anna-barlang is a Hungarian cave known for its geological formations and natural underground features.
E839881 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: Anna-barlang | Statement: [Anna Cave, hasNameInHungarian, Anna-barlang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna-barlang
Context triple: [Anna Cave, hasNameInHungarian, Anna-barlang]
  • A. Åreskutan
    Åreskutan is a prominent mountain in central Sweden known for hosting one of Scandinavia’s most popular ski resorts and extensive alpine facilities.
  • B. Hornodden
    Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
  • C. Langåra
    Langåra is an island located within the municipality of Asker in Viken county, Norway.
  • D. Spiterstulen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • E. Rombaksbotn
    Rombaksbotn is a small settlement in Narvik Municipality in Nordland county, Norway, situated at the innermost part of the Rombaken fjord.
  • 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: Anna-barlang
Triple: [Anna Cave, hasNameInHungarian, Anna-barlang]
Generated description
Anna-barlang is a Hungarian cave known for its geological formations and natural underground features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna-barlang
Target entity description: Anna-barlang is a Hungarian cave known for its geological formations and natural underground features.
  • A. Åreskutan
    Åreskutan is a prominent mountain in central Sweden known for hosting one of Scandinavia’s most popular ski resorts and extensive alpine facilities.
  • B. Hornodden
    Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
  • C. Langåra
    Langåra is an island located within the municipality of Asker in Viken county, Norway.
  • D. Spiterstulen
    Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
  • E. Rombaksbotn
    Rombaksbotn is a small settlement in Narvik Municipality in Nordland county, Norway, situated at the innermost part of the Rombaken fjord.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05da3688190b7a1ac8a58e5488f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6aecc488190a9af098f687327ed completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7bb88348190a39908b34b7419b2 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b81e7b948190baa417186aac284b completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 9:01 p.m.