Triple

T32168933
Position Surface form Disambiguated ID Type / Status
Subject Dunk City E821654 entity
Predicate gainedNationalAttention P130768 FINISHED
Object 2013 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: 2013 | Statement: [Dunk City, gainedNationalAttention, 2013]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gainedNationalAttention
Context triple: [Dunk City, gainedNationalAttention, 2013]
  • A. hasInternationalAttentionFor
    Indicates that an entity is receiving recognition, focus, or concern from audiences, organizations, or media beyond its own country, specifically in relation to a particular topic, event, or attribute.
  • B. nationalAttention chosen
    Indicates that an entity or event receives significant recognition, focus, or coverage at the level of an entire nation.
  • C. gainedRecognition
    Indicates that an entity received acknowledgment, acclaim, or validation from others for its qualities, actions, or achievements.
  • D. gainedProminenceFor
    Indicates that an entity became widely recognized or notable specifically because of another entity, action, or achievement.
  • E. gainedProminenceUnder
    Indicates that an entity rose to greater importance, influence, or recognition during the leadership, authority, or period associated with another entity.
  • 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_69f3490699a48190bbef96b198e8fade completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6d16f5cb881908eed141afaaa0b51 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe45554819089cbbd538d992132 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 12:33 a.m.