Triple

T15781212
Position Surface form Disambiguated ID Type / Status
Subject Sultan Daniyal Mirza E382619 entity
Predicate givenName P17 FINISHED
Object Daniyal E377668 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: Daniyal | Statement: [Sultan Daniyal Mirza, givenName, Daniyal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniyal
Context triple: [Sultan Daniyal Mirza, givenName, Daniyal]
  • A. Daniyal chosen
    Daniyal is a masculine given name commonly used in various cultures, often considered a variant of the name Daniel.
  • B. Daniyal Biy
    Daniyal Biy was an 18th-century ruler of the Bukhara Khanate, known for consolidating Manghit power and laying the foundations for their later emirate.
  • C. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • D. Suhail
    Suhail is the Arabic name for Canopus, the second-brightest star in the night sky and a key navigational star historically used by Arab sailors and desert travelers.
  • E. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.