Triple

T169129
Position Surface form Disambiguated ID Type / Status
Subject Old English E3079 entity
Predicate earlyScript P4037 FINISHED
Object Anglo-Saxon runes 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: Anglo-Saxon runes | Statement: [Old English, earlyScript, Anglo-Saxon runes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: earlyScript
Context triple: [Old English, earlyScript, Anglo-Saxon runes]
  • A. script
    Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
  • B. officialScriptOf
    Indicates that one writing system is formally designated as the standard or legally recognized script used for a particular language, region, or entity.
  • C. historicalScript chosen
    Indicates that an entity is or was written in, or otherwise associated with, a particular historical writing system or script.
  • D. scriptDirection
    Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
  • E. pretext
    Indicates that one party uses a stated reason or excuse to conceal their true motive for an action or decision.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25665f5b8819096ca3e084faf976e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.