Triple
T12514902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ranlib |
E299169
|
entity |
| Predicate | inputFileType |
P11909
|
FINISHED |
| Object | static library archive |
—
|
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: static library archive | Statement: [ranlib, inputFileType, static library archive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inputFileType Context triple: [ranlib, inputFileType, static library archive]
-
A.
fileTypeCode
Indicates the specific classification or category code that identifies the type or format of a file.
-
B.
inputType
chosen
Indicates the kind or format of data that an entity expects to receive as input in a given context.
-
C.
filenameType
Indicates the type or category associated with a given filename (e.g., file format, role, or classification).
-
D.
fileTypeIIDMeaning
Indicates that the predicate specifies the meaning or interpretation associated with a particular file type identifier (IID).
-
E.
fileTypeMasquerade
Indicates that a file is presented or labeled as one type while actually being of a different underlying type.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.