Triple

T18797998
Position Surface form Disambiguated ID Type / Status
Subject Western Mono E459686 entity
Predicate partOf P40 FINISHED
Object Mono language continuum NE NERFINISHED

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: Mono language continuum | Statement: [Western Mono, partOf, Mono language continuum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mono language continuum
Context triple: [Western Mono, partOf, Mono language continuum]
  • A. Yabem-Takia language continuum
    The Yabem–Takia language continuum is a group of closely related Austronesian languages spoken in coastal and island areas of northern Papua New Guinea, forming a dialect chain rather than a single uniform language.
  • B. Cora linguistic continuum
    The Cora linguistic continuum is a group of closely related Uto-Aztecan Cora dialects spoken in western Mexico that form a chain of mutually intelligible varieties rather than a single uniform language.
  • C. Potohari language continuum
    The Potohari language continuum is a group of closely related Indo-Aryan dialects spoken primarily in Pakistan’s Potohar Plateau and surrounding regions, forming a transitional zone between Punjabi and Hindko.
  • D. Embera language continuum
    The Embera language continuum is a group of closely related Chocoan languages spoken by the Embera people of Colombia and Panama, characterized by mutual intelligibility and regional dialect variation.
  • E. Tat dialect continuum
    The Tat dialect continuum is a group of closely related Southwestern Iranian dialects spoken primarily in the eastern Caucasus region, notably in parts of Azerbaijan and Russia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mono language continuum
Target entity description: The Mono language continuum is a group of closely related Native American languages traditionally spoken by the Mono people of central California, encompassing varieties such as Western Mono.
  • A. Yabem-Takia language continuum
    The Yabem–Takia language continuum is a group of closely related Austronesian languages spoken in coastal and island areas of northern Papua New Guinea, forming a dialect chain rather than a single uniform language.
  • B. Cora linguistic continuum
    The Cora linguistic continuum is a group of closely related Uto-Aztecan Cora dialects spoken in western Mexico that form a chain of mutually intelligible varieties rather than a single uniform language.
  • C. Potohari language continuum
    The Potohari language continuum is a group of closely related Indo-Aryan dialects spoken primarily in Pakistan’s Potohar Plateau and surrounding regions, forming a transitional zone between Punjabi and Hindko.
  • D. Embera language continuum
    The Embera language continuum is a group of closely related Chocoan languages spoken by the Embera people of Colombia and Panama, characterized by mutual intelligibility and regional dialect variation.
  • E. Tat dialect continuum
    The Tat dialect continuum is a group of closely related Southwestern Iranian dialects spoken primarily in the eastern Caucasus region, notably in parts of Azerbaijan and Russia.
  • F. None of above. chosen

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.