Triple

T11889679
Position Surface form Disambiguated ID Type / Status
Subject Meskwaki syllabary E282880 entity
Predicate scriptUserStatus P102089 FINISHED
Object small number of literate users 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: small number of literate users | Statement: [Meskwaki syllabary, scriptUserStatus, small number of literate users]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptUserStatus
Context triple: [Meskwaki syllabary, scriptUserStatus, small number of literate users]
  • A. exportStatus
    Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
  • B. scriptUserCommunity
    Indicates a relationship where a user participates in, belongs to, or is associated with a particular community within a script or scripted system.
  • C. customStatus
    Indicates that an entity has a user-defined or non-standard status assigned to it.
  • D. programStatus
    Indicates the current state or condition of a program within its lifecycle (e.g., planned, active, paused, completed, or terminated).
  • E. commandUser
    Indicates that one entity issues an instruction or directive that another entity is expected to follow.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
PDg Predicate description generation batch_69d8d399d58c81908dab572aa82426d7 completed April 10, 2026, 10:40 a.m.
Created at: April 8, 2026, 9:44 p.m.