Triple
T18584564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GaoGaiGar: King of Braves |
E454201
|
entity |
| Predicate | hasRobotCombination |
P132667
|
FINISHED |
| Object | Galeon + GaiGar + GaoMachines → GaoGaiGar |
—
|
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: Galeon + GaiGar + GaoMachines → GaoGaiGar | Statement: [GaoGaiGar: King of Braves, hasRobotCombination, Galeon + GaiGar + GaoMachines → GaoGaiGar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRobotCombination Context triple: [GaoGaiGar: King of Braves, hasRobotCombination, Galeon + GaiGar + GaoMachines → GaoGaiGar]
-
A.
hasRobot
Indicates that one entity possesses, controls, or is associated with a robot.
-
B.
hasComb
Indicates that an entity possesses or is equipped with a comb.
-
C.
isRobotic
Indicates that an entity is robotic, meaning it is a robot or operates using robotic mechanisms or technology.
-
D.
hasRobotCharacterRole
Indicates that an entity participates in a role or function specifically as a robot character within a given context or work.
-
E.
hasOnboardRobot
Indicates that one entity (typically a vehicle, device, or platform) is equipped with or carries a robot on board.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b0dff08190a3be481faec34a3c |
completed | April 19, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:44 a.m.