Triple

T11027474
Position Surface form Disambiguated ID Type / Status
Subject Wôpanâôt8âôk E260663 entity
Predicate scriptDetail P51137 FINISHED
Object uses diacritics to mark vowel quality and length 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: uses diacritics to mark vowel quality and length | Statement: [Wôpanâôt8âôk, scriptDetail, uses diacritics to mark vowel quality and length]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptDetail
Context triple: [Wôpanâôt8âôk, scriptDetail, uses diacritics to mark vowel quality and length]
  • 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. scriptFeature chosen
    Indicates that a script includes, supports, or is characterized by a particular feature or capability.
  • C. scriptOfReferent
    Indicates that a script (e.g., writing system or code) is associated with, or used to represent, a particular referent.
  • 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. scriptOfTitle
    Indicates that a script (e.g., a written work or screenplay) is associated with or belongs to a particular titled work.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d190f08190bcb5949ee24306f1 completed April 9, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69d7440087ac8190aef2e6f6b13b2635 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:25 p.m.