Triple
T28610903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QMP |
E724164
|
entity |
| Predicate | commandNamespace |
P174375
|
FINISHED |
| Object | query- commands for retrieving information |
—
|
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: query- commands for retrieving information | Statement: [QMP, commandNamespace, query- commands for retrieving information]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandNamespace Context triple: [QMP, commandNamespace, query- commands for retrieving information]
-
A.
commandName
Indicates the specific label or identifier used to denote a particular command within a system or interface.
-
B.
commandPrefix
Indicates that one entity serves as the leading sequence of characters (prefix) used to invoke or recognize commands associated with another entity.
-
C.
commandModuleName
Indicates the name assigned to a specific command module within a system or application.
-
D.
commandScope
Indicates that one entity defines or limits the range, context, or extent within which another entity’s command or control is valid or applicable.
-
E.
namedSpace
Indicates that an entity has been assigned or is associated with a specific name within a particular namespace or naming context.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 28, 2026, 4:30 a.m.