Triple
T7187662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanooki Suit |
E167610
|
entity |
| Predicate | gameplayEffect |
P68390
|
FINISHED |
| Object | Allows player to fly for a limited time |
—
|
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: Allows player to fly for a limited time | Statement: [Tanooki Suit, gameplayEffect, Allows player to fly for a limited time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameplayEffect Context triple: [Tanooki Suit, gameplayEffect, Allows player to fly for a limited time]
-
A.
notableEffect
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
-
B.
tierEffect
Indicates how belonging to a particular tier influences or modifies the outcome, behavior, or properties associated with that tier.
-
C.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
D.
gameplayMechanic
Indicates a relationship where one entity functions as a rule, system, or interactive feature that defines how another entity can be played or operated within a game.
-
E.
temporaryEffect
chosen
Indicates that one entity causes or experiences an effect that is limited in duration and does not produce a lasting change.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e2506881909fc4e81b9b79e873 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.