Triple

T15518029
Position Surface form Disambiguated ID Type / Status
Subject Assembly of Vlorë E368882 entity
Predicate participant P858 FINISHED
Object Lef Nosi E1162081 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: Lef Nosi | Statement: [Assembly of Vlorë, participant, Lef Nosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lef Nosi
Context triple: [Assembly of Vlorë, participant, Lef Nosi]
  • A. Lef Nosi chosen
    Lef Nosi was an Albanian nationalist politician and statesman who played a key role in the country’s independence movement and early state-building efforts.
  • B. Assin Foso
    Assin Foso is a prominent town in Ghana that serves as a commercial and administrative hub within the country’s Central Region.
  • C. Lélouma
    Lélouma is a significant urban center in the Middle Guinea region of Guinea, serving as an important local hub for administration and commerce.
  • D. Yorno So
    Yorno So is a Dogon language spoken in Mali, belonging to the diverse Dogon language family of the central plateau region.
  • E. Fombio
    Fombio is a small municipality in the Lombardy region of northern Italy, known for its rural character and location near the Po River.
  • 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_69e040343d9c8190a7d1f197c108bd9d completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4552a8dc819082cb6c31a2c05606 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:03 a.m.