Triple

T23963783
Position Surface form Disambiguated ID Type / Status
Subject National Stadium, Kingston E604005 entity
Predicate hostedEvent P613 FINISHED
Object Carifta Games
The Carifta Games is an annual junior and youth track and field championship featuring athletes from Caribbean nations, known as a key developmental meet for future world-class sprinters and field event stars.
E1611185 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: Carifta Games | Statement: [National Stadium, Kingston, hostedEvent, Carifta Games]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carifta Games
Triple: [National Stadium, Kingston, hostedEvent, Carifta Games]
Generated description
The Carifta Games is an annual junior and youth track and field championship featuring athletes from Caribbean nations, known as a key developmental meet for future world-class sprinters and field event stars.

Provenance (5 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_69e2954222288190a7323554d0cca8d7 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d1d616dc8190accd8f343a809e6f completed April 29, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f765cc3508190b5f745ed932f7eab completed May 21, 2026, 9:17 p.m.
NEDg Description generation batch_6a0f770ade44819086d5ad4e46c3f099 completed May 21, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0f77bd3f688190bbc8612330e6a5f0 completed May 21, 2026, 9:23 p.m.
Created at: April 17, 2026, 9:24 p.m.