Triple

T24171629
Position Surface form Disambiguated ID Type / Status
Subject Luigi Musso E599149 entity
Predicate notableRaceLocation P148811 FINISHED
Object Reims-Gueux circuit
The Reims-Gueux circuit was a historic French road racing circuit near Reims, renowned for hosting Formula One and sports car Grand Prix events during the mid-20th century.
 E1621384 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: Reims-Gueux circuit | Statement: [Luigi Musso, notableRaceLocation, Reims-Gueux circuit]
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: Reims-Gueux circuit
Triple: [Luigi Musso, notableRaceLocation, Reims-Gueux circuit]
Generated description
The Reims-Gueux circuit was a historic French road racing circuit near Reims, renowned for hosting Formula One and sports car Grand Prix events during the mid-20th century.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableRaceLocation
Context triple: [Luigi Musso, notableRaceLocation, Reims-Gueux circuit]
  • A. notableRaceTrackDepicted
    Indicates that a work or representation depicts a race track that is considered notable or significant.
  • B. notableLocation
    Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
  • C. notableGameLocation
    Indicates that a particular place is recognized as a significant or prominent location within a game.
  • D. hasRaceLocation chosen
    Indicates that an event or entity is associated with the specific location where a race takes place.
  • E. notableRaceMeeting
    Indicates that there is a race meeting or event that is particularly notable or significant in relation to the subject.
  • 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_69e288cbd62881909de32ca64a70c17b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27c9ddfcc819096697a844b300cce completed April 29, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad3d3388819096787b8f9abf2ef9 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae2d71448190b191a4877c698840 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf073c088190bbf21e4dd0434fc1 completed May 22, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f1c42f942c8190b103ff29a60fef34 completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:33 p.m.