Triple
T6519587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRU |
E148346
|
entity |
| Predicate | supportsExplainOperationPurpose |
P71378
|
FINISHED |
| Object | service description |
—
|
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: service description | Statement: [SRU, supportsExplainOperationPurpose, service description]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsExplainOperationPurpose Context triple: [SRU, supportsExplainOperationPurpose, service description]
-
A.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
B.
mustExplain
Indicates that one entity is obligated to provide a clarification, justification, or detailed account to another entity.
-
C.
explainsPolicy
Indicates that one entity provides a clarification or detailed description of a policy to another entity.
-
D.
supportsExperiment
Indicates that one entity provides the necessary resources, conditions, or assistance for an experiment to be conducted or to function as intended.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac11d0e481908103c4b51de9521e |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:45 p.m.