Triple
T21066508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debye relaxation |
E518986
|
entity |
| Predicate | timeDomainForm |
P97135
|
FINISHED |
| Object | P(t) = P_0 exp(-t/tau) for step change in field |
—
|
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: P(t) = P_0 exp(-t/tau) for step change in field | Statement: [Debye relaxation, timeDomainForm, P(t) = P_0 exp(-t/tau) for step change in field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDomainForm Context triple: [Debye relaxation, timeDomainForm, P(t) = P_0 exp(-t/tau) for step change in field]
-
A.
timeDomain
chosen
Indicates that something is characterized, defined, or analyzed with respect to time rather than another domain (such as frequency or space).
-
B.
timeDomainComponent
Indicates that one entity is a component or segment of another entity within the time domain, such as a specific time interval or temporal part of a larger temporal whole.
-
C.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:45 p.m.