Triple
T33027470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PASV |
E845079
|
entity |
| Predicate | portSelection |
P21260
|
FINISHED |
| Object | server chooses ephemeral port |
—
|
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 chooses ephemeral port | Statement: [PASV, portSelection, server chooses ephemeral port]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portSelection Context triple: [PASV, portSelection, server chooses ephemeral port]
-
A.
portNumber
Indicates the specific communication port assigned to a network connection, service, or endpoint.
-
B.
hostSelection
Indicates the choice or designation of a particular host from a set of possible hosts for a given purpose or interaction.
-
C.
portConfiguration
chosen
Indicates how ports are arranged, assigned, or set up for use within a system or device.
-
D.
port
Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
-
E.
portSystem
Indicates that one system serves as a port or interface through which another system connects, communicates, or transfers data or resources.
- 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_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:23 a.m.