Triple
T28421731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debian contrib component |
E719956
|
entity |
| Predicate | hasArchiveArea |
P180316
|
FINISHED |
| Object | binary |
—
|
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: binary | Statement: [Debian contrib component, hasArchiveArea, binary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchiveArea Context triple: [Debian contrib component, hasArchiveArea, binary]
-
A.
archiveAvailability
Indicates whether something is stored or accessible in an archive, and under what conditions it can be retrieved.
-
B.
archiveOf
Indicates that one entity serves as a stored collection or repository preserving the records, documents, or materials of another entity.
-
C.
hasNotableArchive
Indicates that an entity maintains or is associated with an archive that is considered significant or noteworthy.
-
D.
archiveFor
Indicates that one entity serves as a storage or preservation repository specifically for the records, documents, or data of another entity.
-
E.
hasCollectionArea
Indicates that an entity is associated with a specific geographic or spatial area from which items, specimens, or data are collected.
- F. None of above. chosen
Provenance (4 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 28, 2026, 1:34 a.m.