Triple

T6777335
Position Surface form Disambiguated ID Type / Status
Subject Warekena language E155590 entity
Predicate hasAlternativeName P39 FINISHED
Object Uarekena
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
E618341 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: Uarekena | Statement: [Warekena language, hasAlternativeName, Uarekena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uarekena
Context triple: [Warekena language, hasAlternativeName, Uarekena]
  • A. Urakhi
    Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
  • B. Umma
    Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
  • C. Etiwanda
    Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
  • D. Kiume
    Kiume is one of the main human performers in Disney's "Festival of the Lion King" stage show, leading songs and interacting with the audience as part of the production.
  • E. Uluka
    Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • 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: Uarekena
Triple: [Warekena language, hasAlternativeName, Uarekena]
Generated description
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uarekena
Target entity description: Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
  • A. Urakhi
    Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
  • B. Umma
    Umma was an important Sumerian city-state in ancient Mesopotamia, known for its frequent territorial conflicts with the neighboring city-state of Lagash.
  • C. Etiwanda
    Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
  • D. Kiume
    Kiume is one of the main human performers in Disney's "Festival of the Lion King" stage show, leading songs and interacting with the audience as part of the production.
  • E. Uluka
    Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26725208190b64935cfd08b2aff completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712cc9ff08190bb7ec0bf4cc4db01 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c71396f1f88190b3316e694424a2fe completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71466728c81909a24174a7938b43a completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:13 p.m.