Triple

T12393701
Position Surface form Disambiguated ID Type / Status
Subject Eliot orthography E296060 entity
Predicate relevanceToday P82904 FINISHED
Object used in linguistic research on Massachusett LITERAL FINISHED

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: used in linguistic research on Massachusett | Statement: [Eliot orthography, relevanceToday, used in linguistic research on Massachusett]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relevanceToday
Context triple: [Eliot orthography, relevanceToday, used in linguistic research on Massachusett]
  • A. usageToday
    Indicates the current or most recent use or application of something on the present day.
  • B. knownTodayAs
    Indicates that an entity is currently referred to or recognized by a particular name or designation in the present time.
  • C. hasModernRelevance chosen
    Indicates that something maintains significance, applicability, or impact in contemporary times or current contexts.
  • D. conservationRelevance
    Indicates that something has significance or importance for conservation efforts, such as protecting species, habitats, or ecosystems.
  • E. frequentlyDiscussedIn
    Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
  • F. None of above.

Provenance (3 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69d93ed256788190b704cad171a4824e completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.