Triple
T38590712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miqo'te |
E932445
|
entity |
| Predicate | hasNotableFeatureInGameCreation |
P122493
|
FINISHED |
| Object | tail customization |
—
|
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: tail customization | Statement: [Miqo'te, hasNotableFeatureInGameCreation, tail customization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFeatureInGameCreation Context triple: [Miqo'te, hasNotableFeatureInGameCreation, tail customization]
-
A.
notableGameFeature
Indicates that a particular game feature is especially significant, distinctive, or noteworthy in the context of the game.
-
B.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
C.
gameFeatures
Indicates that a game includes or offers a particular element, characteristic, or functionality.
-
D.
featuresGame
Indicates that something (such as a platform, service, or collection) includes or presents a particular game as part of its offerings.
-
E.
notableTraitInGames
chosen
Indicates that a particular characteristic or quality is especially prominent or well-known in the context of games.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.