Triple

T4147975
Position Surface form Disambiguated ID Type / Status
Subject Tamil script E89832 entity
Predicate usedInReligiousTexts P9192 FINISHED
Object Hindu texts in Tamil 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: Hindu texts in Tamil | Statement: [Tamil script, usedInReligiousTexts, Hindu texts in Tamil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInReligiousTexts
Context triple: [Tamil script, usedInReligiousTexts, Hindu texts in Tamil]
  • A. usedInReligiousTextsOf chosen
    Indicates that something (such as a concept, term, or symbol) appears within and is employed in the religious texts associated with a particular religion or tradition.
  • B. usedForReligiousTexts
    Indicates that something is used in the creation, preservation, or practice of religious texts or scriptures.
  • C. isAssociatedWithReligiousText
    Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
  • D. associatedReligionInTexts
    Indicates that a particular religion is mentioned or linked in written texts in connection with the given entity.
  • E. appearsInReligion
    Indicates that one entity is featured, referenced, or plays a role within the religious context, texts, or traditions associated with 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af033ef6648190adde17f943d89c78 completed March 9, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69af018c101081909070da5b11e5eb3d completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:43 p.m.