Triple
T30842983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leica screw-mount lenses (via adapter on M bodies) |
E785559
|
entity |
| Predicate | framelinesActivatedByAdapter |
P170553
|
FINISHED |
| Object | 28mm |
—
|
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: 28mm | Statement: [Leica screw-mount lenses (via adapter on M bodies), framelinesActivatedByAdapter, 28mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: framelinesActivatedByAdapter Context triple: [Leica screw-mount lenses (via adapter on M bodies), framelinesActivatedByAdapter, 28mm]
-
A.
hasInteroperableLines
Indicates that two or more systems, networks, or components can operate together seamlessly, exchanging and using each other’s outputs without special adaptation.
-
B.
hasFrontLineFeature
Indicates that an entity possesses a specific characteristic or element located on its front side or leading edge.
-
C.
networkLine
Indicates that there is a connection or linkage between entities within a network structure or system.
-
D.
Flowline
Indicates a directed path or channel along which something (such as fluid, energy, or information) moves or is transmitted from one point to another.
-
E.
connectedLine
Indicates that two entities are joined by a continuous line or linear connection.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f691443b108190acb7823c16ace379 |
completed | May 3, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68fb914b88190b0cad83ea9fe9dfc |
completed | May 2, 2026, 11:58 p.m. |
Created at: April 29, 2026, 8:45 p.m.