Triple

T2122247
Position Surface form Disambiguated ID Type / Status
Subject Tregami language E43949 entity
Predicate hasScriptStatus P35264 FINISHED
Object primarily unwritten 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: primarily unwritten | Statement: [Tregami language, hasScriptStatus, primarily unwritten]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScriptStatus
Context triple: [Tregami language, hasScriptStatus, primarily unwritten]
  • A. containsScript
    Indicates that one entity includes or embeds the script of another entity within it.
  • B. hasScriptHistory
    Indicates that an entity is associated with a record or chronology of scripts or writing systems it has used or been represented in over time.
  • C. programStatus
    Indicates the current state or condition of a program within its lifecycle (e.g., planned, active, paused, completed, or terminated).
  • D. scripturalStatus
    Indicates the relationship between a text and its recognition or classification as scriptural, canonical, or authoritative within a religious or doctrinal tradition.
  • E. hasEditorScripting
    Indicates that an entity provides or supports scripting capabilities specifically for editing or editor-related functionality.
  • F. None of above. chosen

Provenance (4 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb51e8088190a1aeafee4e8dff63 completed March 7, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69abb7bd86cc8190938ef06c1ed6d969 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb895d11881908345032595a679ba completed March 7, 2026, 5:33 a.m.
Created at: March 4, 2026, 7:44 p.m.