Triple
T22619761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Psychology and Neuroscience |
E558242
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FPN |
—
|
NE NERFINISHED |
How this triple was built (3 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: FPN | Statement: [Faculty of Psychology and Neuroscience, abbreviation, FPN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FPN Context triple: [Faculty of Psychology and Neuroscience, abbreviation, FPN]
-
A.
FPN
FPN (Feature Pyramid Network) is a neural network architecture component that builds multi-scale feature maps to improve object detection performance, especially for detecting objects at different sizes.
-
B.
FCN
FCN is the common abbreviation for 1. FC Nürnberg, a German football club based in Nuremberg.
-
C.
Feature Pyramid Networks based detectors
Feature Pyramid Networks based detectors are a family of object detection models that enhance multi-scale feature representation by building top-down feature hierarchies with lateral connections, improving accuracy for objects of varying sizes.
-
D.
FasterRCNN
FasterRCNN is a popular two-stage object detection architecture that first proposes candidate regions and then classifies and refines bounding boxes, widely used in computer vision tasks.
-
E.
RCNN
RCNN is the ICAO airport code assigned to Tainan Airport in Tainan, Taiwan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FPN Target entity description: FPN is a university faculty dedicated to education and research in psychology and neuroscience.
-
A.
FPN
FPN (Feature Pyramid Network) is a neural network architecture component that builds multi-scale feature maps to improve object detection performance, especially for detecting objects at different sizes.
-
B.
FCN
FCN is the common abbreviation for 1. FC Nürnberg, a German football club based in Nuremberg.
-
C.
Feature Pyramid Networks based detectors
Feature Pyramid Networks based detectors are a family of object detection models that enhance multi-scale feature representation by building top-down feature hierarchies with lateral connections, improving accuracy for objects of varying sizes.
-
D.
FasterRCNN
FasterRCNN is a popular two-stage object detection architecture that first proposes candidate regions and then classifies and refines bounding boxes, widely used in computer vision tasks.
-
E.
RCNN
RCNN is the ICAO airport code assigned to Tainan Airport in Tainan, Taiwan.
- F. None of above. chosen
Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e383b048190a432c540185916d0 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.