Triple

T17974295
Position Surface form Disambiguated ID Type / Status
Subject Treasury Islands E449425 entity
Predicate hasLanguage P15 FINISHED
Object Mono language
Mono is an Oceanic language spoken by the Mono people of the Treasury Islands in the Solomon Islands.
E1299369 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: Mono language | Statement: [Treasury Islands, hasLanguage, Mono language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono language
Context triple: [Treasury Islands, hasLanguage, Mono language]
  • A. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • B. 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.
  • C. 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.
  • D. Lingo
    Lingo is a scripting language primarily known for powering interactive multimedia applications and games in Adobe (formerly Macromedia) Director.
  • E. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • 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: Mono language
Triple: [Treasury Islands, hasLanguage, Mono language]
Generated description
Mono is an Oceanic language spoken by the Mono people of the Treasury Islands in the Solomon Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mono language
Target entity description: Mono is an Oceanic language spoken by the Mono people of the Treasury Islands in the Solomon Islands.
  • A. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • B. 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.
  • C. 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.
  • D. Lingo
    Lingo is a scripting language primarily known for powering interactive multimedia applications and games in Adobe (formerly Macromedia) Director.
  • E. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fe24808190baa11739f4d1095f completed April 19, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03301821088190802834bfa3ddf2d7 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a0332130f108190a3fbcf146ecd9d81 completed May 12, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0333605db48190a7195d65ea4ad047 completed May 12, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:22 a.m.