Triple
T5079670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow Road |
E114482
|
entity |
| Predicate | recursAcross |
P54121
|
FINISHED |
| Object | multiple Mario Kart titles |
—
|
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: multiple Mario Kart titles | Statement: [Rainbow Road, recursAcross, multiple Mario Kart titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recursAcross Context triple: [Rainbow Road, recursAcross, multiple Mario Kart titles]
-
A.
recursIn
chosen
Indicates that an event, pattern, or entity appears repeatedly or returns multiple times within a given context, sequence, or timeframe.
-
B.
recurs
Indicates that an event, condition, or pattern happens again, often repeatedly or at regular intervals, after having occurred before.
-
C.
usesRecursion
Indicates that an entity performs an operation or defines a process by invoking itself, directly or indirectly, as part of its execution.
-
D.
runsAcross
Indicates that one entity moves quickly on foot from one side of another entity, area, or boundary to the opposite side, traversing it in a roughly straight path.
-
E.
recastBy
Indicates that an existing role, character, or part has been newly assigned to a different performer or entity than before.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.