Triple
T35381659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephemeroptera |
E1022663
|
entity |
| Predicate | nymphDuration |
P183278
|
FINISHED |
| Object | months to several years depending on species |
—
|
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: months to several years depending on species | Statement: [Ephemeroptera, nymphDuration, months to several years depending on species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nymphDuration Context triple: [Ephemeroptera, nymphDuration, months to several years depending on species]
-
A.
eraDuration
Indicates the length of time that a particular era or period spans.
-
B.
durationDepicted
Indicates that a representation (such as a media item or depiction) specifies or conveys the length of time over which an event, process, or state occurs.
-
C.
duración
Indicates the length of time or period over which something lasts or continues.
-
D.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
E.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
- F. None of above. chosen
Provenance (4 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:03 p.m.