Triple

T11065581
Position Surface form Disambiguated ID Type / Status
Subject Grand Vizier E261613 entity
Predicate alsoKnownAs P39 FINISHED
Object Sadrazam
Sadrazam was the title used in the Ottoman Empire for the Grand Vizier, the sultan’s chief minister and highest-ranking administrative official.
 E903372 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: Sadrazam | Statement: [Grand Vizier, alsoKnownAs, Sadrazam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sadrazam
Context triple: [Grand Vizier, alsoKnownAs, Sadrazam]
  • A. Hadiach
    Hadiach is a historic town in central Ukraine known for its role in Cossack-era politics and the 1658 Hadiach Treaty.
  • B. Odzaci
    Odžaci is a town and municipality in the Bačka region of northern Serbia, known for its agricultural production and location near the Danube River.
  • C. Terazije
    Terazije is a central and historic square in Belgrade, Serbia, known as a major commercial, cultural, and transport hub of the city.
  • D. Meljak
    Meljak is a village in the Barajevo municipality near Belgrade, Serbia.
  • E. Sedini
    Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
  • 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: Sadrazam
Triple: [Grand Vizier, alsoKnownAs, Sadrazam]
Generated description
Sadrazam was the title used in the Ottoman Empire for the Grand Vizier, the sultan’s chief minister and highest-ranking administrative official.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sadrazam
Target entity description: Sadrazam was the title used in the Ottoman Empire for the Grand Vizier, the sultan’s chief minister and highest-ranking administrative official.
  • A. Hadiach
    Hadiach is a historic town in central Ukraine known for its role in Cossack-era politics and the 1658 Hadiach Treaty.
  • B. Odzaci
    Odžaci is a town and municipality in the Bačka region of northern Serbia, known for its agricultural production and location near the Danube River.
  • C. Terazije
    Terazije is a central and historic square in Belgrade, Serbia, known as a major commercial, cultural, and transport hub of the city.
  • D. Meljak
    Meljak is a village in the Barajevo municipality near Belgrade, Serbia.
  • E. Sedini
    Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7991f84488190a974d1744a62798d completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8a4cdb8819080765d746f477089 completed April 18, 2026, 6:08 p.m.
NEDg Description generation batch_69e3d5cf52d081909c006d0281b55b22 completed April 18, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69e3da9a5b148190863416c38403cbd3 completed April 18, 2026, 7:25 p.m.
Created at: April 8, 2026, 9:26 p.m.