Triple
T15952953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit de Spa-Francorchamps |
E386861
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Francorchamps |
E905645
|
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: Francorchamps | Statement: [Circuit de Spa-Francorchamps, locatedIn, Francorchamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francorchamps Context triple: [Circuit de Spa-Francorchamps, locatedIn, Francorchamps]
-
A.
Francorchamps
chosen
Francorchamps is a village in the Belgian Ardennes best known for hosting the Circuit de Spa-Francorchamps, one of the world’s most famous motor racing tracks.
-
B.
Gronchi
Gronchi is an Italian surname most notably associated with Giovanni Gronchi, the third President of the Italian Republic.
-
C.
Guy Ligier
Guy Ligier was a French racing driver and entrepreneur best known for founding the Ligier Formula One team and sports car manufacturer.
-
D.
Henri Prost
Henri Prost was a prominent French architect and urban planner best known for designing major city plans in France, Morocco, and Turkey in the early 20th century.
-
E.
Pierre Salvadori
Pierre Salvadori is a French film director and screenwriter known for his witty, character-driven comedies and romantic dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f687dc81908d4afd43ac0b2c8e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7ab070819090232efdeecdd5fb |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.