Triple
T33027459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PASV |
E845079
|
entity |
| Predicate | responseIncludes |
P40030
|
FINISHED |
| Object | server IP address |
—
|
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: server IP address | Statement: [PASV, responseIncludes, server IP address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseIncludes Context triple: [PASV, responseIncludes, server IP address]
-
A.
includesResponse
chosen
Indicates that one entity contains, incorporates, or encompasses another entity as a response or reply.
-
B.
reportIncludes
Indicates that a report contains, covers, or incorporates the specified item, section, or content as part of its information.
-
C.
responseExpected
Indicates that a reply, action, or follow-up is anticipated from a specified party in relation to a prior communication or event.
-
D.
reasoningIncludes
Indicates that a reasoning process or argument explicitly incorporates or makes use of the referenced element as one of its components or steps.
-
E.
responseExample
Indicates that one entity serves as an illustrative or sample response corresponding to another entity (such as a prompt, question, or situation).
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:23 a.m.