Triple

T5615532
Position Surface form Disambiguated ID Type / Status
Subject Kayanic languages E147467 entity
Predicate hasMember P10 FINISHED
Object Uma’ Lasan language
The Uma’ Lasan language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
 E534743 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: Uma’ Lasan language | Statement: [Kayanic languages, hasMember, Uma’ Lasan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uma’ Lasan language
Context triple: [Kayanic languages, hasMember, Uma’ Lasan language]
  • A. Lasalimu language
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • B. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • E. Nomlaki language
    The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
  • 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: Uma’ Lasan language
Triple: [Kayanic languages, hasMember, Uma’ Lasan language]
Generated description
The Uma’ Lasan language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uma’ Lasan language
Target entity description: The Uma’ Lasan language is an Austronesian language of the Kayanic subgroup spoken by an indigenous community in Borneo.
  • A. Lasalimu language
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • B. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • C. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • D. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • E. Nomlaki language
    The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d51c12c8190911fb9a0c0d234d8 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04e89b7c481908abae227d22cc814 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f41b158819097f9ef536215e248 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:39 p.m.