Triple
T2792388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Make |
E61958
|
entity |
| Predicate | commandLineOption |
P43633
|
FINISHED |
| Object | -f |
—
|
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: -f | Statement: [GNU Make, commandLineOption, -f]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandLineOption Context triple: [GNU Make, commandLineOption, -f]
-
A.
commandLineTool
Indicates that an entity is a software utility intended to be executed and interacted with via a text-based command-line interface.
-
B.
configurationOptionIn
Indicates that a specific configuration option belongs to, or is defined within, a particular configuration set, context, or system.
-
C.
commandName
Indicates the specific label or identifier used to denote a particular command within a system or interface.
-
D.
definesCommand
Indicates that one entity specifies or establishes a command that another entity can execute or obey.
-
E.
commandInputFormat
Indicates the expected structure or syntax that a command must follow when being provided as input.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdee94c2081908e5075e87e70780a |
completed | March 7, 2026, 8:16 a.m. |
Created at: March 6, 2026, 9:58 p.m.