Triple
T8486631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accept-Language |
E200846
|
entity |
| Predicate | serverBehaviorIfAbsent |
P33686
|
FINISHED |
| Object | use server default language |
—
|
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: use server default language | Statement: [Accept-Language, serverBehaviorIfAbsent, use server default language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serverBehaviorIfAbsent Context triple: [Accept-Language, serverBehaviorIfAbsent, use server default language]
-
A.
serverBehavior
Indicates how a server responds to requests or events, including its actions, rules, and patterns of operation in a given context.
-
B.
defaultBehavior
chosen
Indicates the standard or fallback way an entity acts or responds when no specific or overriding instructions or conditions are provided.
-
C.
spaceBehavior
Indicates how an entity behaves, operates, or is arranged within a given space or spatial context.
-
D.
serverName
Indicates the relationship where a server is identified or labeled by a specific name.
-
E.
typicalServer
Indicates that an entity functions as a standard or representative example of a server within a given context or system.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.