Triple

T22291309
Position Surface form Disambiguated ID Type / Status
Subject Abbas Hilmi Pasha E551001 entity
Predicate title P38 FINISHED
Object Pasha NE NERFINISHED

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: Pasha | Statement: [Abbas Hilmi Pasha, title, Pasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasha
Context triple: [Abbas Hilmi Pasha, title, Pasha]
  • A. Pasha chosen
    Pasha is a high-ranking title of nobility and military or administrative authority historically used in the Ottoman Empire and some neighboring regions.
  • B. Peshewa
    Peshewa, also known as Jean Baptiste Richardville, was a prominent 19th-century Miami (Myaamia) chief influential in treaty negotiations with the United States in the Great Lakes region.
  • C. Pasha Qasim
    Pasha Qasim was an Ottoman military leader and provincial governor whose legacy is notably marked by the mosque bearing his name in Pécs, Hungary.
  • D. Tagau Pashayi
    Tagau Pashayi is a specific variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
  • E. Farhat
    Farhat is a surname of Arabic origin borne by various individuals, including Tunisian figures such as Chadlia Saïda Farhat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560c47e481908b33de63a11e25de completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.