Triple
T29863872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mod_deflate |
E758394
|
entity |
| Predicate | doesNotCompress |
P2558
|
FINISHED |
| Object | incoming HTTP requests by default |
—
|
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: incoming HTTP requests by default | Statement: [mod_deflate, doesNotCompress, incoming HTTP requests by default]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotCompress Context triple: [mod_deflate, doesNotCompress, incoming HTTP requests by default]
-
A.
doesNotUse
chosen
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
B.
doesNotDrainTo
Indicates that one entity does not channel, carry, or direct flow (such as water or other material) into another entity or location.
-
C.
doesNotCommitTo
Indicates that one entity refrains from making a promise, obligation, or firm decision toward another entity or course of action.
-
D.
doesNotModel
Indicates that one entity explicitly does not represent, simulate, or serve as a model of another entity or concept.
-
E.
doesNotSpecify
Indicates that the subject intentionally leaves some information, detail, or attribute undefined or unspecified with respect to the object.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 5:50 p.m.