Triple
T37458283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aggro Shaman |
E930853
|
entity |
| Predicate | resourceCurve |
P176923
|
FINISHED |
| Object | Low mana curve |
—
|
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: Low mana curve | Statement: [Aggro Shaman, resourceCurve, Low mana curve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resourceCurve Context triple: [Aggro Shaman, resourceCurve, Low mana curve]
-
A.
relatedCurve
Indicates that one curve is associated with or derived from another curve in a defined relational way.
-
B.
curveExample
chosen
Indicates that an entity serves as an illustrative or representative example of a particular curve.
-
C.
learningCurve
Indicates how the difficulty or required effort to acquire proficiency in a task or system changes as experience or practice increases.
-
D.
commonlyUsedCurve
Indicates that the referenced curve is widely adopted or frequently used in common practice or standard applications.
-
E.
curveName
Indicates that a specific curve is identified or labeled by a given name.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.