Triple
T515935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transmission Control Protocol |
E10705
|
entity |
| Predicate | portNumberRange |
P3688
|
FINISHED |
| Object | 0-65535 |
—
|
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: 0-65535 | Statement: [Transmission Control Protocol, portNumberRange, 0-65535]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portNumberRange Context triple: [Transmission Control Protocol, portNumberRange, 0-65535]
-
A.
portRange
chosen
Indicates the range of network ports over which a connection, service, or rule applies.
-
B.
registeredPortRange
Indicates that a port number falls within the officially registered (non-well-known, non-dynamic) range of port values.
-
C.
portNumber
Indicates the specific communication port assigned to a network connection, service, or endpoint.
-
D.
dynamicPortRange
Indicates that a system or service uses a configurable range of network ports that can be dynamically allocated rather than fixed to a single port.
-
E.
wellKnownPortRange
Indicates that a port number falls within the standardized range of well-known ports (typically 0–1023) reserved for common network services.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1836b688190a60cc901a8724159 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2f0151e8c81909a82b58ac0515eba |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.