Triple

T14127232
Position Surface form Disambiguated ID Type / Status
Subject Gwich’in language E340064 entity
Predicate hasHistoricalWritingSystem P38424 FINISHED
Object missionary-based orthography 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: missionary-based orthography | Statement: [Gwich’in language, hasHistoricalWritingSystem, missionary-based orthography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalWritingSystem
Context triple: [Gwich’in language, hasHistoricalWritingSystem, missionary-based orthography]
  • A. writingSystemHistorically chosen
    Indicates that one writing system was historically used for, associated with, or served as a predecessor to another writing system.
  • B. hasWritingTraditionSince
    Indicates that a writing tradition has been present or established for an entity starting from a specified point in time.
  • C. hasWritingTraditionVia
    Indicates that an entity possesses or participates in a writing tradition by means of, or through the mediation of, another specified entity or method.
  • D. hasOfficialWritingSystem
    Indicates that an entity (typically a language) is associated with a formally recognized and standardized writing system used for official or standard purposes.
  • E. writingSystemDevelopedFrom
    Indicates that one writing system originated, evolved, or was derived from another earlier writing system.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.