Triple
T13119930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piranha Plant |
E311693
|
entity |
| Predicate | smashFightingStyle |
P73075
|
FINISHED |
| Object | uses long-range bites |
—
|
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: uses long-range bites | Statement: [Piranha Plant, smashFightingStyle, uses long-range bites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smashFightingStyle Context triple: [Piranha Plant, smashFightingStyle, uses long-range bites]
-
A.
打撃スタイル
chosen
Indicates a relationship where an entity is characterized by or associated with a particular style or manner of striking or hitting.
-
B.
combatStyleAgainst
Indicates the specific way or method one entity uses to fight or engage in combat when facing another entity.
-
C.
hasFighter
Indicates that an entity possesses, controls, or is associated with a fighter (such as a combatant, combat vehicle, or fighting unit).
-
D.
SMASH Academy
Indicates a relationship where an entity is associated with or belongs to SMASH Academy, typically as a participant, member, or affiliate of that program or institution.
-
E.
martialArt
Indicates that one entity practices, performs, or is associated with a specific martial art style or discipline in relation to 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:06 p.m.