Triple
T13025525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemmy Koopa |
E326294
|
entity |
| Predicate | battleCharacteristic |
P107524
|
FINISHED |
| Object | often fights while standing on a rubber ball |
—
|
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: often fights while standing on a rubber ball | Statement: [Lemmy Koopa, battleCharacteristic, often fights while standing on a rubber ball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battleCharacteristic Context triple: [Lemmy Koopa, battleCharacteristic, often fights while standing on a rubber ball]
-
A.
militaryCharacteristic
Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
-
B.
missionCharacteristic
Indicates that a mission possesses a specific attribute, feature, or quality that characterizes its nature or execution.
-
C.
squadCharacteristic
Indicates that a particular characteristic, trait, or property is attributed to a squad as a whole.
-
D.
featuresBattle
Indicates that one entity includes, presents, or involves a battle as a significant element or event.
-
E.
warfareCapability
Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
- F. None of above. chosen
Provenance (4 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:53 p.m.