Triple
T18314900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIRC2 camera |
E438729
|
entity |
| Predicate | hasCryogenicOperation |
P7247
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NIRC2 camera, hasCryogenicOperation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCryogenicOperation Context triple: [NIRC2 camera, hasCryogenicOperation, yes]
-
A.
isCryogenic
chosen
Indicates that something operates at, is designed for, or involves extremely low (cryogenic) temperatures.
-
B.
usedInCryogenics
Indicates that something is employed or applied within cryogenic processes, technologies, or environments involving extremely low temperatures.
-
C.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
-
D.
hasMeltingMechanism
Indicates that an entity possesses a specific mechanism or process by which it melts or causes melting.
-
E.
cryogenDepletion
Indicates that the amount of cryogenic coolant has been reduced or exhausted, typically impairing the normal operation of the associated system or instrument.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021cc70c8190bf43bd75e4af7381 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.