Triple

T15517407
Position Surface form Disambiguated ID Type / Status
Subject President of the Republic of Albania E368867 entity
Predicate officeHolders P9949 FINISHED
Object Ilir Meta E368872 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: Ilir Meta | Statement: [President of the Republic of Albania, officeHolders, Ilir Meta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilir Meta
Context triple: [President of the Republic of Albania, officeHolders, Ilir Meta]
  • A. Ilir Meta chosen
    Ilir Meta is an Albanian politician who has served in multiple top state positions, including president, prime minister, and speaker of parliament.
  • B. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Dimitar
    Dimitar is a masculine given name of Slavic origin, commonly used in Bulgaria and other Eastern European countries.
  • E. Miljan
    Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5111648190a61fc87170b0d93c completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:03 a.m.