Triple

T664625
Position Surface form Disambiguated ID Type / Status
Subject Sindhi E12831 entity
Predicate usesAdditionalLetters P9187 FINISHED
Object Perso-Arabic-based script with extra letters for implosives 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: Perso-Arabic-based script with extra letters for implosives | Statement: [Sindhi, usesAdditionalLetters, Perso-Arabic-based script with extra letters for implosives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAdditionalLetters
Context triple: [Sindhi, usesAdditionalLetters, Perso-Arabic-based script with extra letters for implosives]
  • A. usesAdditionalLettersFrom
    Indicates that one entity forms or derives its representation by incorporating extra letters taken from another entity beyond those originally present.
  • B. hasAdditionalLetters chosen
    Indicates that one entity contains extra or more letters than another entity, beyond a specified base set or reference.
  • C. usesAlphabet
    Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
  • D. hasBasicLetters
    Indicates that an entity contains or is composed of fundamental alphabetic characters, without additional symbols or diacritics.
  • E. hasLetterBy
    Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd3d8fc8190866af5c76c08f486 completed March 1, 2026, 8:21 p.m.
PD Predicate disambiguation batch_69a49d16cff881908c8d2c3fe4d1d6fb completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.