Triple
T11543276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lúcio |
E273723
|
entity |
| Predicate | buffType |
P99962
|
FINISHED |
| Object | movement speed increase |
—
|
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: movement speed increase | Statement: [Lúcio, buffType, movement speed increase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buffType Context triple: [Lúcio, buffType, movement speed increase]
-
A.
boosterType
Indicates the specific kind or category of booster associated with an entity or action.
-
B.
banType
Indicates the specific category or kind of prohibition or restriction that has been applied.
-
C.
binaryType
Indicates that something is classified as a binary type, typically distinguishing between two mutually exclusive categories or values.
-
D.
eraType
Indicates the classification of a time period or era according to its type or category.
-
E.
baseSpiritType
Indicates the type or category of the primary alcoholic spirit that serves as the base in a drink or spirit product.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.