Triple
T14387871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahrenheit |
E356770
|
entity |
| Predicate | statusInScience |
P18310
|
FINISHED |
| Object | not standard in most scientific contexts |
—
|
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: not standard in most scientific contexts | Statement: [Fahrenheit, statusInScience, not standard in most scientific contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInScience Context triple: [Fahrenheit, statusInScience, not standard in most scientific contexts]
-
A.
scientificStatus
chosen
Indicates the recognized level, role, or standing of an entity within the scientific community or system.
-
B.
positionOnScience
Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
-
C.
consideredByScience
Indicates that something is regarded, evaluated, or treated as valid or relevant within the framework, methods, or consensus of scientific inquiry.
-
D.
statusInExperiment
Indicates the current condition or phase an entity holds within a specific experiment or experimental process.
-
E.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.