Triple

T7219645
Position Surface form Disambiguated ID Type / Status
Subject Erromango E150222 entity
Predicate hasLanguage P15 FINISHED
Object Ura language
Ura language is an endangered Oceanic language traditionally spoken by a small community on the island of Erromango in Vanuatu.
 E649682 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: Ura language | Statement: [Erromango, hasLanguage, Ura language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ura language
Context triple: [Erromango, hasLanguage, Ura language]
  • A. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • B. Ukaan language
    The Ukaan language is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria, notable for its uncertain classification within the Benue–Congo family.
  • C. Luri language
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • D. Udege language
    The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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: Ura language
Triple: [Erromango, hasLanguage, Ura language]
Generated description
Ura language is an endangered Oceanic language traditionally spoken by a small community on the island of Erromango in Vanuatu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ura language
Target entity description: Ura language is an endangered Oceanic language traditionally spoken by a small community on the island of Erromango in Vanuatu.
  • A. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • B. Ukaan language
    The Ukaan language is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria, notable for its uncertain classification within the Benue–Congo family.
  • C. Luri language
    Luri language is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • D. Udege language
    The Udege language is a critically endangered Tungusic language spoken by the Udege people of the Russian Far East.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b1a7908190bd215ffb84592e32 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc014fb88190818e12b7abe90c0a completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7ccf3cd4c8190babc9e0e6b9f4371 completed March 28, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd5cedd88190b72df89b068c4483 completed March 28, 2026, 12:45 p.m.
Created at: March 27, 2026, 2:53 p.m.