Triple

T28343037
Position Surface form Disambiguated ID Type / Status
Subject Buddh International Circuit E717867 entity
Predicate hostedEvent P613 FINISHED
Object Asia Road Racing Championship
The Asia Road Racing Championship is a premier motorcycle road racing series in Asia featuring top riders and manufacturers competing across multiple countries in the region.
E1814052 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: Asia Road Racing Championship | Statement: [Buddh International Circuit, hostedEvent, Asia Road Racing 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: Asia Road Racing Championship
Triple: [Buddh International Circuit, hostedEvent, Asia Road Racing Championship]
Generated description
The Asia Road Racing Championship is a premier motorcycle road racing series in Asia featuring top riders and manufacturers competing across multiple countries in the region.

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_69eff6eb30388190b898b96c4be6f49d completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c04ac408190bab8dfadcc002deb completed May 2, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1627c10170819088118c3965925c92 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a16290c6a808190817f7bee27d4e0ee completed May 26, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_6a162a28a0bc81909d87cabc75fdb1c3 completed May 26, 2026, 11:18 p.m.
Created at: April 28, 2026, 12:41 a.m.