Triple

T10924565
Position Surface form Disambiguated ID Type / Status
Subject Alego Kogelo E258031 entity
Predicate gainedInternationalAttention P81954 FINISHED
Object 2008 LITERAL 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: 2008 | Statement: [Alego Kogelo, gainedInternationalAttention, 2008]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gainedInternationalAttention
Context triple: [Alego Kogelo, gainedInternationalAttention, 2008]
  • A. gainedRecognition
    Indicates that an entity received acknowledgment, acclaim, or validation from others for its qualities, actions, or achievements.
  • B. gainedProminenceFor chosen
    Indicates that an entity became widely recognized or notable specifically because of another entity, action, or achievement.
  • C. haveInternationalRecognition
    Indicates that an entity is formally acknowledged or accepted by the international community or by official bodies across multiple countries.
  • D. helpedPropelToMainstreamFame
    Indicates that one entity significantly contributed to another entity’s rise to widespread public recognition or mainstream popularity.
  • E. hasNotableRecognitionFor
    Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
  • F. None of above.

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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708f7ab48190b60a4bb8fdb17c8e completed April 9, 2026, 9:25 a.m.
PD Predicate disambiguation batch_69d72e799f808190b6ab64fc7586a303 completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:22 p.m.