Triple
T31439891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pianta Parlor |
E802036
|
entity |
| Predicate | influencesGameplay |
P118563
|
FINISHED |
| Object | provides optional rewards |
—
|
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: provides optional rewards | Statement: [Pianta Parlor, influencesGameplay, provides optional rewards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesGameplay Context triple: [Pianta Parlor, influencesGameplay, provides optional rewards]
-
A.
gameplayImpact
chosen
Indicates how one element in a game affects the mechanics, difficulty, or overall experience of playing that game.
-
B.
gameplayBasis
Indicates that one entity serves as the core mechanic, structure, or inspiration upon which another entity’s gameplay is designed or derived.
-
C.
gameFeatures
Indicates that a game includes or offers a particular element, characteristic, or functionality.
-
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.
influencesMovement
Indicates that one entity affects or alters the movement, motion, or trajectory of 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 30, 2026, 9:04 p.m.