Triple
T15952969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit de Spa-Francorchamps |
E386861
|
entity |
| Predicate | hasCorner |
P42380
|
FINISHED |
| Object | Blanchimont |
E1180573
|
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: Blanchimont | Statement: [Circuit de Spa-Francorchamps, hasCorner, Blanchimont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanchimont Context triple: [Circuit de Spa-Francorchamps, hasCorner, Blanchimont]
-
A.
Blanchimont
chosen
Blanchimont is a famously fast, sweeping left-hand corner at Belgium’s Circuit de Spa-Francorchamps, known for its high-speed challenge and minimal runoff.
-
B.
Fernelmont
Fernelmont is a rural municipality in the province of Namur in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
C.
d’Oultremont
d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
-
D.
Stoumont
Stoumont is a rural municipality in the province of Liège in eastern Belgium, known for its Ardennes landscapes and World War II Battle of the Bulge history.
-
E.
Deûlémont
Deûlémont is a commune in northern France’s Nord department, situated near the Belgian border in the Hauts-de-France region.
- 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_69ffe46d180c81909be66f628d1bdf72 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:53 a.m.