Triple

T18797971
Position Surface form Disambiguated ID Type / Status
Subject Eastern Mono E459685 entity
Predicate relatedTo P37 FINISHED
Object Western Mono NE NERFINISHED

How this triple was built (2 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: Western Mono | Statement: [Eastern Mono, relatedTo, Western Mono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Mono
Context triple: [Eastern Mono, relatedTo, Western Mono]
  • A. Western Mono chosen
    Western Mono is a dialect of the Mono language spoken by the Mono people of central California, distinguished by its own phonological and lexical features within the broader Mono linguistic continuum.
  • B. Eastern Mono
    Eastern Mono is a dialect of the Native American Mono language traditionally spoken by the Mono people of eastern California.
  • C. Western Buh
    Western Buh is a major river in Eastern Europe that flows through Ukraine and Poland before emptying into the Vistula River.
  • D. Western Sisaala
    Western Sisaala is a dialect of the Sisaala language spoken by the Sisaala people in parts of West Africa, particularly in northern Ghana and neighboring areas.
  • E. Western Subanen
    Western Subanen is a major dialect of the Subanen language spoken by Subanen communities in the western regions of the Zamboanga Peninsula in the southern Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a020821881909749f6a1c6cd195b completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.