Triple
T4118549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Wilson & Associates |
E90352
|
entity |
| Predicate | typicalProjectScale |
P10773
|
FINISHED |
| Object | large-scale |
—
|
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: large-scale | Statement: [Jim Wilson & Associates, typicalProjectScale, large-scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProjectScale Context triple: [Jim Wilson & Associates, typicalProjectScale, large-scale]
-
A.
typicalProjectTypes
Indicates the kinds or categories of projects that are most commonly or characteristically associated with a given entity.
-
B.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
C.
operationScale
chosen
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
-
D.
estimatedIndustrialScale
Indicates that an entity has been assessed or projected to operate at an industrial (large-scale) level of production or activity.
-
E.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.