Triple
T11016679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POP |
E260381
|
entity |
| Predicate | responseExample |
P97013
|
FINISHED |
| Object | +OK |
—
|
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: +OK | Statement: [POP, responseExample, +OK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseExample Context triple: [POP, responseExample, +OK]
-
A.
typicalResponse
Indicates that an entity’s behavior, reaction, or outcome is the standard or commonly expected response in a given context or situation.
-
B.
responseField
Indicates that a particular piece of information is included as part of a response or output structure.
-
C.
responseTool
Indicates a tool, method, or mechanism used to produce, deliver, or manage a response in a given context.
-
D.
backendExample
Indicates that something serves as an example or illustrative instance within a backend or server-side context.
-
E.
responseExpected
Indicates that a reply, action, or follow-up is anticipated from a specified party in relation to a prior communication or event.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a682908190b061d1995e2866b6 |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d733b27ffc81908ab1b8df198cd5c7 |
completed | April 9, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.