Triple
T8470809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datagram Delivery Protocol |
E200274
|
entity |
| Predicate | OSIEquivalent |
P58587
|
FINISHED |
| Object | similar to OSI network layer |
—
|
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: similar to OSI network layer | Statement: [Datagram Delivery Protocol, OSIEquivalent, similar to OSI network layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OSIEquivalent Context triple: [Datagram Delivery Protocol, OSIEquivalent, similar to OSI network layer]
-
A.
equivalentTo
Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
-
B.
equivalentIn
chosen
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
-
C.
usesSameSystemAs
Indicates that two entities operate within or rely on the same underlying system, platform, or infrastructure.
-
D.
hasEquivalent
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
E.
isIsomorphicTo
Indicates that two structures have a one-to-one, structure-preserving correspondence between their elements, making them equivalent in form even if not identical in content.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f234c481909534de6fd702f4cf |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.