Triple
T8508096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InformRequest-PDU |
E201384
|
entity |
| Predicate | serializedWith |
P76884
|
FINISHED |
| Object | BER (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: BER (Basic Encoding Rules) | Statement: [InformRequest-PDU, serializedWith, BER (Basic Encoding Rules)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serializedWith Context triple: [InformRequest-PDU, serializedWith, BER (Basic Encoding Rules)]
-
A.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
B.
serialized
Indicates that one entity has been converted into a sequential, storable or transmittable data format representing its structure or state.
-
C.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
D.
primarySerialization
Indicates that one representation or format of an entity is designated as its main or default form for storage, transmission, or processing.
-
E.
serializationStyle
chosen
Indicates how data is formatted, structured, and encoded when being converted to or from a serialized representation.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5df74e8819086b1445cc907e371 |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.