Triple

T37636544
Position Surface form Disambiguated ID Type / Status
Subject Arwi E936502 entity
Predicate purposeOfAdditionalLetters P10533 FINISHED
Object to represent Tamil phonemes not in Arabic 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: to represent Tamil phonemes not in Arabic | Statement: [Arwi, purposeOfAdditionalLetters, to represent Tamil phonemes not in Arabic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purposeOfAdditionalLetters
Context triple: [Arwi, purposeOfAdditionalLetters, to represent Tamil phonemes not in Arabic]
  • A. lettersPurpose
    Indicates that one entity is the purpose, intent, or subject matter for which the letters are written or sent.
  • B. additionalFundingPurpose
    Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
  • C. usesAdditionalLettersFrom chosen
    Indicates that one entity forms or derives its representation by incorporating extra letters taken from another entity beyond those originally present.
  • D. entryPurpose
    Indicates the reason or intended use for which an entity is being entered, accessed, or recorded in a given context.
  • E. notationPurpose
    Indicates that one notation is used with the specific purpose or function of representing, explaining, or supporting another entity or concept.
  • 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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaa1321b48190af92a3e7ec24ec5b completed May 6, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69fba8860f98819080b7bab05837b974 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.