Triple

T15004481
Position Surface form Disambiguated ID Type / Status
Subject administration of Akbar E377673 entity
Predicate office P3103 FINISHED
Object Wazir
Wazir was the chief minister and principal administrative officer in the Mughal Empire under Akbar, responsible for overseeing revenue, governance, and state affairs.
 E1132052 NE FINISHED

How this triple was built (4 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: Wazir | Statement: [administration of Akbar, office, Wazir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wazir
Context triple: [administration of Akbar, office, Wazir]
  • A. Fiez
    Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
  • B. Mandaraji
    Mandaraji is a Hindu pilgrimage site known for its temple significance and religious importance to visiting devotees.
  • C. Shatrah
    Shatrah is a town in southern Iraq known as an administrative and commercial center within the Dhi Qar Governorate.
  • D. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • E. Shashmaqam
    Shashmaqam is a classical Central Asian musical genre characterized by complex modal structures, poetic lyrics, and a rich performance tradition shared primarily by Tajik and Uzbek cultures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wazir
Triple: [administration of Akbar, office, Wazir]
Generated description
Wazir was the chief minister and principal administrative officer in the Mughal Empire under Akbar, responsible for overseeing revenue, governance, and state affairs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wazir
Target entity description: Wazir was the chief minister and principal administrative officer in the Mughal Empire under Akbar, responsible for overseeing revenue, governance, and state affairs.
  • A. Fiez
    Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
  • B. Mandaraji
    Mandaraji is a Hindu pilgrimage site known for its temple significance and religious importance to visiting devotees.
  • C. Shatrah
    Shatrah is a town in southern Iraq known as an administrative and commercial center within the Dhi Qar Governorate.
  • D. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • E. Shashmaqam
    Shashmaqam is a classical Central Asian musical genre characterized by complex modal structures, poetic lyrics, and a rich performance tradition shared primarily by Tajik and Uzbek cultures.
  • F. None of above. chosen

Provenance (5 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7322b5c81909089cbbf816e1436 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a04eec8190b347bf3637aba0bc completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe98e182708190a013511c32d33315 completed May 9, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69fe9a48e85081909d70d8f44e3a54d7 completed May 9, 2026, 2:22 a.m.
Created at: April 10, 2026, 2:54 a.m.