Triple
T38592215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skill Rating |
E932479
|
entity |
| Predicate | usedToAssign |
P64049
|
FINISHED |
| Object | Bronze tier |
—
|
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: Bronze tier | Statement: [Skill Rating, usedToAssign, Bronze tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToAssign Context triple: [Skill Rating, usedToAssign, Bronze tier]
-
A.
usedToSpecify
Indicates that one entity is employed to define, clarify, or determine the characteristics or identity of another entity.
-
B.
usedToInfer
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
-
C.
usedInExpression
Indicates that one entity (typically a term, symbol, or construct) is employed as a component within another entity that represents an expression.
-
D.
usedToMark
Indicates that one entity serves as a marker, label, or indicator for another entity.
-
E.
usedToSelect
chosen
Indicates that one entity serves as a criterion, tool, or basis for choosing or determining 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.