Triple

T3750561
Position Surface form Disambiguated ID Type / Status
Subject Kildin Sámi E81317 entity
Predicate hasEarlierWritingSystems P38424 FINISHED
Object Latin-based orthographies (historical) 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: Latin-based orthographies (historical) | Statement: [Kildin Sámi, hasEarlierWritingSystems, Latin-based orthographies (historical)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEarlierWritingSystems
Context triple: [Kildin Sámi, hasEarlierWritingSystems, Latin-based orthographies (historical)]
  • A. hasWritingTraditionSince
    Indicates that a writing tradition has been present or established for an entity starting from a specified point in time.
  • B. writingSystemDevelopedFrom
    Indicates that one writing system originated, evolved, or was derived from another earlier writing system.
  • C. writingSystemHistorically chosen
    Indicates that one writing system was historically used for, associated with, or served as a predecessor to another writing system.
  • D. earliestTextsIn
    Indicates that certain texts are among the earliest known examples found in or associated with a particular place or context.
  • E. ancientLanguages
    Indicates that the related entities are languages that originated in and were used during ancient historical periods.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69adc04adebc819088d7f36d0ac343a6 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.