Triple

T18798020
Position Surface form Disambiguated ID Type / Status
Subject Western Mono E459686 entity
Predicate hasLexicalSimilarityWith P11829 FINISHED
Object Eastern 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: Eastern Mono | Statement: [Western Mono, hasLexicalSimilarityWith, Eastern Mono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Mono
Context triple: [Western Mono, hasLexicalSimilarityWith, Eastern Mono]
  • A. Eastern Mono chosen
    Eastern Mono is a dialect of the Native American Mono language traditionally spoken by the Mono people of eastern California.
  • B. Western Mono
    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.
  • C. Barasana
    Barasana is an indigenous Tucanoan language spoken by the Barasana people of the northwest Amazon region, primarily in Colombia.
  • D. Gosiute
    Gosiute is a dialect of the Shoshoni language traditionally spoken by the Goshute people of the Great Basin region in the western United States.
  • E. Town of Mono
    The Town of Mono is a rural municipality in south-central Ontario, Canada, known for its rolling countryside, conservation areas, and proximity to the Greater Toronto Area.
  • 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_69e5a0215084819086bce60f95d08409 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.