Triple

T5385739
Position Surface form Disambiguated ID Type / Status
Subject Rostam E120197 entity
Predicate appearsIn P795 FINISHED
Object Shahnameh E22449 NE 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: Shahnameh | Statement: [Rostam, appearsIn, Shahnameh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahnameh
Context triple: [Rostam, appearsIn, Shahnameh]
  • A. Shahnameh chosen
    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.
  • B. Shahnama-e-Islam
    Shahnama-e-Islam is an epic Urdu poetic work that narrates Islamic history and heroes in a grand, literary style.
  • C. Avesta
    The Avesta is the primary collection of sacred scriptures of Zoroastrianism, containing hymns, liturgical texts, and religious teachings.
  • D. La Galigo epic
    The La Galigo epic is a monumental Bugis literary work from South Sulawesi, Indonesia, recounting mythic origins, deities, and heroic adventures that form a core of Bugis cultural and spiritual tradition.
  • E. Khwaday-Namag
    Khwaday-Namag was a lost Middle Persian royal chronicle of pre-Islamic Iran that compiled legendary and historical accounts of Persian kings and served as a key source for later works like Ferdowsi’s Shahnameh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f5a7388190aa4ba2052afca74e completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4877be7481909942b25ba1d0a7fd completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:03 p.m.