Triple
T25261186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finance/Administration Section |
E633306
|
entity |
| Predicate | canBeScaled |
P135871
|
FINISHED |
| Object | based on incident complexity and 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: based on incident complexity and size | Statement: [Finance/Administration Section, canBeScaled, based on incident complexity and size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeScaled Context triple: [Finance/Administration Section, canBeScaled, based on incident complexity and size]
-
A.
isScalable
chosen
Indicates that something can handle increasing amounts of work, users, or data without a proportional loss of performance or efficiency.
-
B.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
C.
wasScaledFor
Indicates that something was adjusted in size, capacity, or extent to suit a particular context, requirement, or target.
-
D.
scalesWith
Indicates that a change in one quantity is systematically associated with a proportional or otherwise dependent change in another quantity.
-
E.
isScaleInvariant
Indicates that a property, equation, or system remains unchanged when all relevant dimensions or variables are uniformly scaled by a common factor.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 1:13 p.m.