Triple
T33028463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directory Access Protocol |
E845101
|
entity |
| Predicate | usesEncodingRules |
P175716
|
FINISHED |
| Object | Basic Encoding Rules |
—
|
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: Basic Encoding Rules | Statement: [Directory Access Protocol, usesEncodingRules, Basic Encoding Rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEncodingRules Context triple: [Directory Access Protocol, usesEncodingRules, Basic Encoding Rules]
-
A.
usesEncoder
Indicates that one entity employs or relies on an encoder component or mechanism to perform its function or process data.
-
B.
usesCharacterSet
Indicates that one entity employs or relies on a specific character set defined by another entity for encoding or representing text.
-
C.
localEncoding
Indicates that an entity is represented or stored using a specific encoding scheme that is defined or applied locally within a particular context or system.
-
D.
encodingIndependence
Indicates that a relationship or property holds regardless of the specific encoding or representation used for the involved entities.
-
E.
notEncodedIn
Indicates that a piece of information, data, or content is explicitly absent from or not represented within a given encoding, format, or medium.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:23 a.m.