Triple

T2405210
Position Surface form Disambiguated ID Type / Status
Subject Myene E50260 entity
Predicate hasISO639-3Code P189 FINISHED
Object mye
mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
 E264207 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: mye | Statement: [Myene, hasISO639-3Code, mye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mye
Context triple: [Myene, hasISO639-3Code, mye]
  • A. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • B. Me
    "Me" is an EP by musician James McCartney, showcasing his melodic songwriting and alternative rock/pop style.
  • C. Myal
    Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
  • D. .me
    .me is the country code top-level domain (ccTLD) assigned to Montenegro, widely used worldwide for personal and brandable web addresses.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • 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: mye
Triple: [Myene, hasISO639-3Code, mye]
Generated description
mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mye
Target entity description: mye is the ISO 639-3 language code for Myene, a Bantu language spoken primarily along the coast of Gabon.
  • A. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • B. Me
    "Me" is an EP by musician James McCartney, showcasing his melodic songwriting and alternative rock/pop style.
  • C. Myal
    Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
  • D. .me
    .me is the country code top-level domain (ccTLD) assigned to Montenegro, widely used worldwide for personal and brandable web addresses.
  • E. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb7b2d8f88190a12ce00000735fd6 completed March 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69aeb827504c8190bd458e79193d51cc completed March 9, 2026, 12:08 p.m.
Created at: March 4, 2026, 7:58 p.m.