Triple

T11168198
Position Surface form Disambiguated ID Type / Status
Subject Myene E264207 entity
Predicate hasDialect P4251 FINISHED
Object Enenga
Enenga is a dialect of the Myene language spoken by communities in Gabon.
E908751 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: Enenga | Statement: [Myene, hasDialect, Enenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enenga
Context triple: [Myene, hasDialect, Enenga]
  • A. Engey
    Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Nganasan
    The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
  • D. Enuamanu
    Enuamanu is the traditional Polynesian name for Atiu, one of the inhabited islands of the Cook Islands in the South Pacific.
  • E. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • 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: Enenga
Triple: [Myene, hasDialect, Enenga]
Generated description
Enenga is a dialect of the Myene language spoken by communities in Gabon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enenga
Target entity description: Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • A. Engey
    Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Nganasan
    The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
  • D. Enuamanu
    Enuamanu is the traditional Polynesian name for Atiu, one of the inhabited islands of the Cook Islands in the South Pacific.
  • E. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463945e40819087c6bdbc322a6d54 completed April 19, 2026, 5:09 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.