Triple

T15621267
Position Surface form Disambiguated ID Type / Status
Subject Bajram Begaj E375559 entity
Predicate name P16 FINISHED
Object Bajram Begaj E375559 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: Bajram Begaj | Statement: [Bajram Begaj, name, Bajram Begaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajram Begaj
Context triple: [Bajram Begaj, name, Bajram Begaj]
  • A. Bajram Begaj chosen
    Bajram Begaj is an Albanian politician and former military officer who serves as the President of Albania.
  • B. Qemal Karaosmani
    Qemal Karaosmani was an Albanian politician and patriot known for his role in the country’s independence movement in the early 20th century.
  • C. Rexhep Meidani
    Rexhep Meidani is an Albanian physicist, academic, and politician who served as the country's president from 1997 to 2002.
  • D. Mehmet Shehu
    Mehmet Shehu was a prominent Albanian communist military leader and later prime minister, known for his key role in World War II partisan resistance and in consolidating Enver Hoxha’s regime.
  • E. Lekë Dukagjini
    Lekë Dukagjini was a 15th-century Albanian nobleman and contemporary of Skanderbeg, best known as the traditional source and namesake of the Kanun, a codified set of customary Albanian laws.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9a95f08190b0013ba1428849d3 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:13 a.m.