Triple
T30338562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System Resource Controller |
E771686
|
entity |
| Predicate | hasCommandInterface |
P15534
|
FINISHED |
| Object | startsrc |
—
|
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: startsrc | Statement: [System Resource Controller, hasCommandInterface, startsrc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommandInterface Context triple: [System Resource Controller, hasCommandInterface, startsrc]
-
A.
hasCommandLineInterface
Indicates that an entity provides or supports interaction through a command-line interface (CLI).
-
B.
hasCommand
chosen
Indicates that one entity possesses, controls, or is associated with a specific command or directive applied to another entity or process.
-
C.
hasCommunicationInterface
Indicates that one entity provides or supports a specific means or channel through which it can communicate or exchange data with another entity or system.
-
D.
hasCommandSystem
Indicates that one entity possesses, uses, or is associated with a particular command or control system.
-
E.
hasCommandArea
Indicates that one entity possesses authority or control over a specific geographic or functional area.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
Created at: April 29, 2026, 7:55 p.m.