Triple
T29606240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OPSAWG |
E754582
|
entity |
| Predicate | outputAudience |
P84205
|
FINISHED |
| Object | network operators and engineers |
—
|
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: network operators and engineers | Statement: [OPSAWG, outputAudience, network operators and engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputAudience Context triple: [OPSAWG, outputAudience, network operators and engineers]
-
A.
resultForAudience
Indicates that something is produced or presented specifically to achieve an effect or outcome for a particular audience.
-
B.
audienceComposition
Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
-
C.
reportAudience
chosen
Indicates the intended recipients or target audience for a given report.
-
D.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
E.
audienceDescribedAs
Indicates that an audience is characterized or labeled using a particular description or set of attributes.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de7e8948190aa0bfe17808ad8b9 |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:25 p.m.