Triple
T38590860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalafell |
E932448
|
entity |
| Predicate | gameMechanicEffect |
P39812
|
FINISHED |
| Object | no gameplay advantage from size |
—
|
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: no gameplay advantage from size | Statement: [Lalafell, gameMechanicEffect, no gameplay advantage from size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameMechanicEffect Context triple: [Lalafell, gameMechanicEffect, no gameplay advantage from size]
-
A.
heroPowerEffect
Indicates the specific impact or outcome that a hero’s power has when it is used.
-
B.
gameplayMechanic
chosen
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.
-
C.
notableEffect
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
-
D.
magicEffect
Indicates that one entity produces, carries, or is associated with a supernatural or magical effect on another entity or on the environment.
-
E.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
- 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_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.