Triple
T32689680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richardson–Dushman equation |
E835820
|
entity |
| Predicate | appliesTo |
P1129
|
FINISHED |
| Object | electron emission from heated metal surfaces |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: electron emission from heated metal surfaces | Statement: [Richardson–Dushman equation, appliesTo, electron emission from heated metal surfaces]
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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c81937a88190be6a17c72c801a70 |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:09 a.m.