Triple
T15535108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Circuit |
E370319
|
entity |
| Predicate | hasBoostPanels |
P42161
|
FINISHED |
| Object | yes (in some versions) |
—
|
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: yes (in some versions) | Statement: [Luigi Circuit, hasBoostPanels, yes (in some versions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoostPanels Context triple: [Luigi Circuit, hasBoostPanels, yes (in some versions)]
-
A.
hasPanel
chosen
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
usedWithBoosters
Indicates that something is employed or operated in conjunction with boosters to enhance its effect or performance.
-
C.
hasHybridBoostDuration
Indicates the length of time for which a hybrid boost effect or mode remains active.
-
D.
canBePoweredUp
Indicates that an entity has the capability to receive additional power or energy, enhancing its state or functionality.
-
E.
hasPerformancePackage
Indicates that an entity is equipped with or associated with a specific performance-enhancing package or upgrade.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.