Triple

T15282738
Position Surface form Disambiguated ID Type / Status
Subject Shah E365310 entity
Predicate appearsInWork P795 FINISHED
Object Shahnameh (Book of Kings) 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 (Book of Kings) | Statement: [Shah, appearsInWork, Shahnameh (Book of Kings)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahnameh (Book of Kings)
Context triple: [Shah, appearsInWork, Shahnameh (Book of Kings)]
  • 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. Rostam-e Dastan
    Rostam-e Dastan is the legendary Persian hero of the Shahnameh, famed for his superhuman strength, loyalty, and epic exploits in Iranian mythology.
  • D. Baysunghur Shahnameh
    The Baysunghur Shahnameh is a lavishly illustrated 15th-century Persian manuscript of Ferdowsi’s epic "Shahnameh," renowned as one of the finest masterpieces of Timurid book art.
  • E. Shahrah-e-Firdousi
    Shahrah-e-Firdousi is a major thoroughfare located in the Clifton area of Karachi, Pakistan, serving as an important connector within the city's road network.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e51f82081909f63d14b589d5587 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef773bc4819083c9a86543659aa9 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.