Triple

T26362973
Position Surface form Disambiguated ID Type / Status
Subject Grand Prix de Trois-Rivières E660256 entity
Predicate hasCircuitName P128403 FINISHED
Object Circuit Trois-Rivières
Circuit Trois-Rivières is a temporary street racing circuit in Trois-Rivières, Quebec, known for hosting various international motorsport events.
 E1720351 NE FINISHED

How this triple was built (3 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: Circuit Trois-Rivières | Statement: [Grand Prix de Trois-Rivières, hasCircuitName, Circuit Trois-Rivières]
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: Circuit Trois-Rivières
Triple: [Grand Prix de Trois-Rivières, hasCircuitName, Circuit Trois-Rivières]
Generated description
Circuit Trois-Rivières is a temporary street racing circuit in Trois-Rivières, Quebec, known for hosting various international motorsport events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCircuitName
Context triple: [Grand Prix de Trois-Rivières, hasCircuitName, Circuit Trois-Rivières]
  • A. circuitName chosen
    Indicates that a specific name or label is assigned to a given circuit.
  • B. hasCircuit
    Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
  • C. isCircuitFor
    Indicates that one entity functions as a circuit designed, used, or intended for another entity.
  • D. isCircuit
    Indicates that an entity functions as or constitutes an electrical or logical circuit within a system.
  • E. hasCircuitRole
    Indicates that an entity participates in a circuit with a specific functional role or responsibility within that circuit.
  • F. None of above.

Provenance (6 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_69ee8126d52c8190bc0b34337c2c9aa8 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a6dc7d48190b79e553933fcc3b8 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119b2be6d481909c7ab1a8ee3f20fe completed May 23, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a119ba6270881908b5a151d25fb79d8 completed May 23, 2026, 12:20 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 26, 2026, 10:53 p.m.