Triple

T12658343
Position Surface form Disambiguated ID Type / Status
Subject Ulch language E302346 entity
Predicate hasAlternativeName P39 FINISHED
Object Olcha
Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
 E995984 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: Olcha | Statement: [Ulch language, hasAlternativeName, Olcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olcha
Context triple: [Ulch language, hasAlternativeName, Olcha]
  • A. Donzenac
    Donzenac is a historic commune in central France’s Corrèze department, known for its medieval architecture and picturesque setting near Brive-la-Gaillarde.
  • B. La Senza
    La Senza is a Canadian-based lingerie and intimate apparel retailer known for its affordable, fashion-focused underwear and sleepwear collections.
  • C. Chloé
    Chloé is a French luxury fashion house renowned for its feminine ready-to-wear, leather goods, and accessories.
  • D. Chloé
    Chloé is a central heroine of the ancient Greek pastoral romance "Daphnis and Chloé," known for her innocent love story with the shepherd Daphnis.
  • E. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • 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: Olcha
Triple: [Ulch language, hasAlternativeName, Olcha]
Generated description
Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olcha
Target entity description: Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
  • A. Donzenac
    Donzenac is a historic commune in central France’s Corrèze department, known for its medieval architecture and picturesque setting near Brive-la-Gaillarde.
  • B. La Senza
    La Senza is a Canadian-based lingerie and intimate apparel retailer known for its affordable, fashion-focused underwear and sleepwear collections.
  • C. Chloé
    Chloé is a French luxury fashion house renowned for its feminine ready-to-wear, leather goods, and accessories.
  • D. Chloé
    Chloé is a central heroine of the ancient Greek pastoral romance "Daphnis and Chloé," known for her innocent love story with the shepherd Daphnis.
  • E. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66885e44c8190a650301b0e86d0f4 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66a602f088190984fa3381b5be944 completed May 2, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69f66b18e68881908bf79ab52bcc909e completed May 2, 2026, 9:22 p.m.
Created at: April 9, 2026, 5:19 p.m.