Triple
T15974638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit Paul Ricard |
E387412
|
entity |
| Predicate | lengthOfMainLayout |
P71536
|
FINISHED |
| Object | approximately 5.842 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 5.842 km | Statement: [Circuit Paul Ricard, lengthOfMainLayout, approximately 5.842 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfMainLayout Context triple: [Circuit Paul Ricard, lengthOfMainLayout, approximately 5.842 km]
-
A.
mainLayoutName
Indicates the name of the primary layout associated with an entity or context.
-
B.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
C.
lengthOfMainBuilding
Indicates the measured physical length of the main building in the context of a larger structure or site.
-
D.
numberOfMainElements
Indicates the quantity of primary or central elements associated with an entity or structure.
-
E.
mainDimension
chosen
Indicates the primary or most significant dimension by which something is measured, organized, or characterized within a given context.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.