Triple
T12281419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | llvm-ar |
E292723
|
entity |
| Predicate | supportsThinArchives |
P104005
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [llvm-ar, supportsThinArchives, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsThinArchives Context triple: [llvm-ar, supportsThinArchives, true]
-
A.
supportsCompressedFiles
Indicates that one entity is capable of handling, reading, or working with files that are stored in a compressed format.
-
B.
supportsExtentsForFiles
Indicates that a system or component provides support for managing or using extent-based storage structures specifically for files.
-
C.
archiveFormat
Indicates the file format or type used to package or compress an archive.
-
D.
supportsLongFilenames
Indicates that an entity is capable of handling, storing, or processing filenames that exceed a standard or traditional length limit.
-
E.
supportedArchitect
Indicates that one entity provides architectural backing, endorsement, or assistance to another entity or architectural concept.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d9261b7f088190b69fe6961015fce3 |
completed | April 10, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:52 p.m.