Triple

T7051192
Position Surface form Disambiguated ID Type / Status
Subject Minahasa Peninsula E163768 entity
Predicate hasLanguage P15 FINISHED
Object Ponosakan language
The Ponosakan language is an endangered Austronesian language traditionally spoken by a small community in northern Sulawesi, Indonesia.
 E638879 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: Ponosakan language | Statement: [Minahasa Peninsula, hasLanguage, Ponosakan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ponosakan language
Context triple: [Minahasa Peninsula, hasLanguage, Ponosakan language]
  • A. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • B. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • C. Opokuma language
    The Opokuma language is a Niger-Congo language spoken by the Opokuma subgroup of the Ijaw people in Nigeria’s Niger Delta region.
  • D. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • E. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • 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: Ponosakan language
Triple: [Minahasa Peninsula, hasLanguage, Ponosakan language]
Generated description
The Ponosakan language is an endangered Austronesian language traditionally spoken by a small community in northern Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ponosakan language
Target entity description: The Ponosakan language is an endangered Austronesian language traditionally spoken by a small community in northern Sulawesi, Indonesia.
  • A. Mikasuki language
    The Mikasuki language is a Native American Muskogean language traditionally spoken by the Miccosukee and Seminole peoples of Florida.
  • B. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • C. Opokuma language
    The Opokuma language is a Niger-Congo language spoken by the Opokuma subgroup of the Ijaw people in Nigeria’s Niger Delta region.
  • D. Pamona language
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • E. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2500570819087200013d859cfe6 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78891bc5081909db384a35b45df4a completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c7893f85588190b1ed983f00ea2532 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c78b0fe83481909cad77ce740b81d5 completed March 28, 2026, 8:02 a.m.
Created at: March 27, 2026, 2:37 p.m.