Triple

T38315761
Position Surface form Disambiguated ID Type / Status
Subject Tai Khamyang E1033820 entity
Predicate traditionalScriptUsed P26603 FINISHED
Object Tai script (historically) 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: Tai script (historically) | Statement: [Tai Khamyang, traditionalScriptUsed, Tai script (historically)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalScriptUsed
Context triple: [Tai Khamyang, traditionalScriptUsed, Tai script (historically)]
  • A. traditionalText
    Indicates that the associated text is expressed in a traditional or historically established form, style, or script as opposed to a modern or simplified variant.
  • B. traditionalLanguageType
    Indicates that an entity’s language belongs to a traditional or historically established linguistic type or category.
  • C. formerScript
    Indicates that an entity previously served as the script or writing system for another entity, but is no longer used in that role.
  • D. writingSystemUsedIn chosen
    Indicates that a particular writing system is employed for written communication within a given language, region, or context.
  • E. traditionalStyle
    Indicates that something follows or embodies a conventional, long-established way of doing, making, or presenting it, in contrast to modern or innovative styles.
  • 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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a0004582bb08190b8d0b88251e8d333 completed May 10, 2026, 4:06 a.m.
PD Predicate disambiguation batch_6a0003e3e5588190933beea5fb28f150 completed May 10, 2026, 4:04 a.m.
Created at: May 3, 2026, 4:30 p.m.