Triple

T5488658
Position Surface form Disambiguated ID Type / Status
Subject Avestan language E123645 entity
Predicate hasCanonicalCorpus P5454 FINISHED
Object Avesta E85589 NE FINISHED

How this triple was built (3 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: Avesta | Statement: [Avestan language, hasCanonicalCorpus, Avesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avesta
Context triple: [Avestan language, hasCanonicalCorpus, Avesta]
  • A. Avesta chosen
    The Avesta is the primary collection of sacred scriptures of Zoroastrianism, containing hymns, liturgical texts, and religious teachings.
  • B. Shahnameh
    Shahnameh is an epic poem by Ferdowsi that recounts the mythological and historical past of Greater Iran and is considered one of the most important works of Persian literature.
  • C. Vedas
    The Vedas are a collection of ancient sacred texts composed in Sanskrit that form the foundational spiritual and philosophical scriptures of Hinduism.
  • D. Shahnama-e-Islam
    Shahnama-e-Islam is an epic Urdu poetic work that narrates Islamic history and heroes in a grand, literary style.
  • E. Volume of the Sacred Law
    The Volume of the Sacred Law is the holy book or books placed on the altar in Masonic lodges, representing divine truth according to the faiths of the members present.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCanonicalCorpus
Context triple: [Avestan language, hasCanonicalCorpus, Avesta]
  • A. hasLimitedCorpus
    Indicates that the associated entity possesses only a small or restricted set of available data, texts, or examples for use or analysis.
  • B. hasCorpusType
    Indicates the type or category of corpus associated with an entity (e.g., text, speech, multimodal).
  • C. corpus
    Indicates that an entity is a collection or body of texts, documents, or linguistic data used as a unified set for analysis or reference.
  • D. hasCanonicalRelevance
    Indicates that something is considered standard, authoritative, or centrally important within an established canon or reference framework.
  • E. hasCanonicalReference chosen
    Indicates that one entity serves as the authoritative or standard reference source for another entity.
  • F. None of above.

Provenance (4 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70dcb0c881909d9aaf0050a5c27b completed March 22, 2026, 4:32 a.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:10 p.m.