Triple
T33056482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH_MSG_REQUEST_FAILURE |
E845858
|
entity |
| Predicate | hasFirstField |
P198738
|
FINISHED |
| Object | byte SSH_MSG_REQUEST_FAILURE |
—
|
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: byte SSH_MSG_REQUEST_FAILURE | Statement: [SSH_MSG_REQUEST_FAILURE, hasFirstField, byte SSH_MSG_REQUEST_FAILURE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstField Context triple: [SSH_MSG_REQUEST_FAILURE, hasFirstField, byte SSH_MSG_REQUEST_FAILURE]
-
A.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
-
B.
hasFirstTerms
Indicates that one entity includes or is associated with the initial or earliest terms of another entity (such as a sequence, series, or agreement).
-
C.
hasFirstPart
Indicates that one entity is the initial or earliest part, segment, or component of another entity in an ordered whole.
-
D.
hasFirstPartForm
Indicates that an entity’s initial or leading part takes a specific form or structural configuration.
-
E.
hasFirstTermIndex
Indicates that one entity specifies the starting position or index of the first term within another ordered sequence or structure.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 1, 2026, 1:25 a.m.