Triple
T1717634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debian |
E37324
|
entity |
| Predicate | hasPackageCount |
P19198
|
FINISHED |
| Object | over 50,000 packages in the repository (approximate) |
—
|
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: over 50,000 packages in the repository (approximate) | Statement: [Debian, hasPackageCount, over 50,000 packages in the repository (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPackageCount Context triple: [Debian, hasPackageCount, over 50,000 packages in the repository (approximate)]
-
A.
hasComponentCount
chosen
Indicates that an entity is associated with a specific number of components it contains or comprises.
-
B.
hasPackageRepository
Indicates that an entity is associated with or provides access to a specific software package repository.
-
C.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
D.
hasNumberOfEnclosures
Indicates the relationship that specifies how many enclosures are associated with a given entity.
-
E.
numberOfBoxes
Indicates the quantity or count of boxes associated with a given entity or context.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.