Triple
T37915098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quantitative Risk Management |
E945792
|
entity |
| Predicate | appliesTool |
P91992
|
FINISHED |
| Object | mathematics |
—
|
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: mathematics | Statement: [Quantitative Risk Management, appliesTool, mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesTool Context triple: [Quantitative Risk Management, appliesTool, mathematics]
-
A.
usesToolFor
chosen
Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
-
B.
toolIn
Indicates that one entity is a tool or instrument used in or associated with another entity or context.
-
C.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
D.
applicationTool
Indicates that one entity is a tool or instrument used to apply, operate, or carry out the function of another entity.
-
E.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:20 p.m.