Triple

T24266644
Position Surface form Disambiguated ID Type / Status
Subject Rotuman people E604855 entity
Predicate ISO639-3LanguageCode P36930 FINISHED
Object rtm
rtm is the ISO 639-3 code for the Rotuman language spoken by the indigenous Rotuman people of Fiji.
 E1625076 NE FINISHED

How this triple was built (3 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: rtm | Statement: [Rotuman people, ISO639-3LanguageCode, rtm]
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: rtm
Triple: [Rotuman people, ISO639-3LanguageCode, rtm]
Generated description
rtm is the ISO 639-3 code for the Rotuman language spoken by the indigenous Rotuman people of Fiji.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ISO639-3LanguageCode
Context triple: [Rotuman people, ISO639-3LanguageCode, rtm]
  • A. ISO639-3CodeOfLanguage chosen
    Indicates that one entity is the ISO 639-3 three-letter language code assigned to the language represented by the other entity.
  • B. ISO639-3Type
    Indicates the classification type assigned to a language within the ISO 639-3 standard (e.g., living, extinct, ancient, constructed, or special).
  • C. sharesISO639-3CodeWith
    Indicates that two language entities share the same ISO 639-3 code, meaning they are treated as the same language in that coding system.
  • D. ISO639Language
    Indicates that an entity is associated with a language identified or classified according to the ISO 639 language code standard.
  • E. ISO639-3ReferenceName
    Indicates the standardized reference name assigned to a language in the ISO 639-3 coding system.
  • F. None of above.

Provenance (6 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_69e29544c29c8190b023606eafe5d36a completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28c6bfe68819084ec59235ae58ff1 completed April 29, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd443f048190b2bf4394c162046b completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbfc685ec8190808eb8c830e4f64d completed May 22, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc06a9f2481909c0e770b96664781 completed May 22, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f1c450aa508190bc9d372a5f6ee47a completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:06 a.m.