Triple

T13145687
Position Surface form Disambiguated ID Type / Status
Subject Hela Province E312328 entity
Predicate hasLanguage P15 FINISHED
Object Huli language
Huli is a Papuan language spoken primarily by the Huli people of Papua New Guinea’s Southern Highlands and surrounding regions.
E1024297 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: Huli language | Statement: [Hela Province, hasLanguage, Huli language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huli language
Context triple: [Hela Province, hasLanguage, Huli language]
  • A. Kulisusu language
    The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
  • B. Buli language
    Buli is an Austronesian language spoken on Halmahera Island in eastern Indonesia, known for its complex verbal morphology and membership in the South Halmahera–West New Guinea subgroup.
  • C. Buli language
    Buli is a Gur language spoken primarily in northern Ghana by the Builsa (Buli) people.
  • D. Haliti language
    The Haliti language, also known as Paresí, is an Arawakan indigenous language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • E. Yulu language
    The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
  • 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: Huli language
Triple: [Hela Province, hasLanguage, Huli language]
Generated description
Huli is a Papuan language spoken primarily by the Huli people of Papua New Guinea’s Southern Highlands and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huli language
Target entity description: Huli is a Papuan language spoken primarily by the Huli people of Papua New Guinea’s Southern Highlands and surrounding regions.
  • A. Kulisusu language
    The Kulisusu language is an Austronesian language spoken by the Kulisusu people of southeastern Sulawesi, Indonesia.
  • B. Buli language
    Buli is a Gur language spoken primarily in northern Ghana by the Builsa (Buli) people.
  • C. Buli language
    Buli is an Austronesian language spoken on Halmahera Island in eastern Indonesia, known for its complex verbal morphology and membership in the South Halmahera–West New Guinea subgroup.
  • D. Haliti language
    The Haliti language, also known as Paresí, is an Arawakan indigenous language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • E. Yulu language
    The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ebb1cd208190970ad8c21e852d93 completed May 3, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec48035881909342b57c061a22a9 completed May 3, 2026, 6:33 a.m.
Created at: April 9, 2026, 9:10 p.m.