Triple
T25242779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben More Thrust |
E632512
|
entity |
| Predicate | exposureQuality |
P99309
|
FINISHED |
| Object | well exposed |
—
|
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: well exposed | Statement: [Ben More Thrust, exposureQuality, well exposed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposureQuality Context triple: [Ben More Thrust, exposureQuality, well exposed]
-
A.
imageQuality
Indicates the assessed level or degree of visual clarity, detail, and overall fidelity of an image.
-
B.
exposureLevel
chosen
Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
-
C.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
-
D.
exposureModes
Indicates the different ways or conditions under which an entity can be exposed to another entity, factor, or influence.
-
E.
exposureTime
Indicates the duration for which a subject or object is exposed to a particular condition, influence, or medium.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47e009e6481908efffcca7ab7ffa8 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:08 p.m.