Triple

T30521640
Position Surface form Disambiguated ID Type / Status
Subject Misano World Circuit Marco Simoncelli E776706 entity
Predicate hostsEvent P613 FINISHED
Object CIV Italian Championship
The CIV Italian Championship is Italy’s premier national motorcycle road racing series, featuring multiple classes and serving as a key stepping stone to international competitions.
E1920250 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: CIV Italian Championship | Statement: [Misano World Circuit Marco Simoncelli, hostsEvent, CIV Italian Championship]
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: CIV Italian Championship
Triple: [Misano World Circuit Marco Simoncelli, hostsEvent, CIV Italian Championship]
Generated description
The CIV Italian Championship is Italy’s premier national motorcycle road racing series, featuring multiple classes and serving as a key stepping stone to international competitions.

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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6880b4a788190b7031f48ee4daf3a completed May 2, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be73b1f48190b8f57b64f4e7450a completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c253a9608190ab50baafccdbb7a7 completed June 9, 2026, 7:35 a.m.
NED2 Entity disambiguation (via description) batch_6a27c2b662308190a526bf9805b8b0c6 completed June 9, 2026, 7:37 a.m.
Created at: April 29, 2026, 8:17 p.m.