Triple

T22931422
Position Surface form Disambiguated ID Type / Status
Subject Sassolungo E569448 entity
Predicate languageVariantName P20733 FINISHED
Object Saslonch
Saslonch is the Ladin name for the Sassolungo, a prominent mountain massif in the Dolomites of northern Italy.
E1562301 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: Saslonch | Statement: [Sassolungo, languageVariantName, Saslonch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saslonch
Context triple: [Sassolungo, languageVariantName, Saslonch]
  • A. Sain-Bulat
    Sain-Bulat was a member of the House of Jochi, the ruling dynasty of the Golden Horde descended from Genghis Khan’s eldest son.
  • B. Lhote
    Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
  • C. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • D. Tserona
    Tserona is a town in southern Eritrea located within the Debub Region, known historically for its strategic position near the Ethiopian border.
  • E. Chiaksan
    Chiaksan is a prominent mountain in South Korea known for its rugged peaks, dense forests, and inclusion within Chiaksan National Park.
  • 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: Saslonch
Triple: [Sassolungo, languageVariantName, Saslonch]
Generated description
Saslonch is the Ladin name for the Sassolungo, a prominent mountain massif in the Dolomites of northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saslonch
Target entity description: Saslonch is the Ladin name for the Sassolungo, a prominent mountain massif in the Dolomites of northern Italy.
  • A. Sain-Bulat
    Sain-Bulat was a member of the House of Jochi, the ruling dynasty of the Golden Horde descended from Genghis Khan’s eldest son.
  • B. Lhote
    Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
  • C. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • D. Tserona
    Tserona is a town in southern Eritrea located within the Debub Region, known historically for its strategic position near the Ethiopian border.
  • E. Chiaksan
    Chiaksan is a prominent mountain in South Korea known for its rugged peaks, dense forests, and inclusion within Chiaksan National Park.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813260608190bb9e1ca704c7e12f completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24cd43c81908111b62945f91dda completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc407cd448190bd843360d65fdf22 completed May 19, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.