Triple

T21721196
Position Surface form Disambiguated ID Type / Status
Subject Murutic languages E536158 entity
Predicate hasPart P35 FINISHED
Object Long Mio language
The Long Mio language is an Austronesian language of the Murutic subgroup spoken by an indigenous community in parts of Borneo.
 E1498720 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: Long Mio language | Statement: [Murutic languages, hasPart, Long Mio language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Long Mio language
Context triple: [Murutic languages, hasPart, Long Mio language]
  • A. Mimi-D language
    Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
  • B. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • C. Mono language
    Mono is an Oceanic language spoken by the Mono people of the Treasury Islands in the Solomon Islands.
  • D. Momo languages
    Momo languages are a small subgroup of Bantoid languages spoken in western Cameroon, closely related to other Grassfields languages.
  • E. Mon language
    Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
  • 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: Long Mio language
Triple: [Murutic languages, hasPart, Long Mio language]
Generated description
The Long Mio language is an Austronesian language of the Murutic subgroup spoken by an indigenous community in parts of Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Long Mio language
Target entity description: The Long Mio language is an Austronesian language of the Murutic subgroup spoken by an indigenous community in parts of Borneo.
  • A. Mimi-D language
    Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
  • B. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • C. Mono language
    Mono is an Oceanic language spoken by the Mono people of the Treasury Islands in the Solomon Islands.
  • D. Momo languages
    Momo languages are a small subgroup of Bantoid languages spoken in western Cameroon, closely related to other Grassfields languages.
  • E. Mon language
    Mon language is an Austroasiatic language historically spoken in parts of Myanmar and Thailand, notable for its ancient literary tradition and influence on regional scripts and cultures.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b98e6c8190a2afff6b11c78963 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a28d08738819081084d9d1c91e6ef completed May 17, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2c3a1fc481908c46c86bc6bda9fa completed May 17, 2026, 8:59 p.m.
Created at: April 16, 2026, 6:47 p.m.