Triple
T38464288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pura |
E912524
|
entity |
| Predicate | ridesWithCharacter |
P90206
|
FINISHED |
| Object | Coco Bandicoot |
—
|
NE NERFINISHED |
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: Coco Bandicoot | Statement: [Pura, ridesWithCharacter, Coco Bandicoot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ridesWithCharacter Context triple: [Pura, ridesWithCharacter, Coco Bandicoot]
-
A.
ridesWith
chosen
Indicates that one entity is traveling together in the same vehicle or conveyance as another entity.
-
B.
ridesAt
Indicates that an entity travels on or is transported by another entity (such as a vehicle, animal, or ride) at a given time or context.
-
C.
transportsCharacter
Indicates that one entity moves or carries a character from one location or state to another.
-
D.
hasRidingAssociation
Indicates an association where one entity is related to another through the act or context of riding (e.g., serving as rider, mount, or riding partner).
-
E.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.