Triple
T15952983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit de Spa-Francorchamps |
E386861
|
entity |
| Predicate | originalLayoutLength |
P115508
|
FINISHED |
| Object | approximately 14 km |
—
|
LITERAL 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: approximately 14 km | Statement: [Circuit de Spa-Francorchamps, originalLayoutLength, approximately 14 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLayoutLength Context triple: [Circuit de Spa-Francorchamps, originalLayoutLength, approximately 14 km]
-
A.
estimatedOriginalLength
chosen
Indicates the approximated or inferred length that something originally had before any changes, damage, or loss.
-
B.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
C.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
-
D.
originalBroadcastLength
Indicates the duration of time for which something was originally broadcast in its first airing.
-
E.
historicalLength
Indicates the duration or extent of time over which something has existed, occurred, or been recorded in the past.
- F. None of above.
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_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.