Triple
T8727969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portage |
E207177
|
entity |
| Predicate | packageModel |
P37433
|
FINISHED |
| Object | source-based |
—
|
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: source-based | Statement: [Portage, packageModel, source-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: packageModel Context triple: [Portage, packageModel, source-based]
-
A.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
B.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
C.
appliesModel
Indicates that one entity uses or executes a specific model on another entity or data set.
-
D.
producedModel
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
E.
useOfModel
chosen
Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1890e0819088b271db51faa738 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:37 p.m.