Triple
T2590731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSI physical layer |
E58114
|
entity |
| Predicate | positionInModel |
P5163
|
FINISHED |
| Object | lowest 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: lowest layer | Statement: [OSI physical layer, positionInModel, lowest layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInModel Context triple: [OSI physical layer, positionInModel, lowest layer]
-
A.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
-
B.
positionInMass
Indicates that an entity occupies a specific location or role within a larger undifferentiated group, collection, or mass.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionInHierarchy
chosen
Indicates that one entity occupies a specific rank or level relative to another within an ordered hierarchy.
-
E.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd40075f08190b760cb41c1417169 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.