Triple
T10734750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus as evening star |
E253163
|
entity |
| Predicate | maximumDurationAfterSunset |
P84843
|
FINISHED |
| Object | about 3 hours |
—
|
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: about 3 hours | Statement: [Venus as evening star, maximumDurationAfterSunset, about 3 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDurationAfterSunset Context triple: [Venus as evening star, maximumDurationAfterSunset, about 3 hours]
-
A.
sunsetExtendedBy
Indicates that the duration or occurrence of a sunset is lengthened or prolonged by a specified factor, condition, or entity.
-
B.
endTimeRelativeToSunset
chosen
Indicates the time at which something ends, expressed in relation to the local sunset time (e.g., a duration before or after sunset).
-
C.
startTimeRelativeToSunset
Indicates that the start time of an event or action is specified in relation to the time of sunset (e.g., before, after, or at sunset).
-
D.
hasSunsetView
Indicates that one entity offers a clear or notable view of the sunset from its location or perspective.
-
E.
hasSolarDayLength
Indicates that an entity is associated with a specific duration for one complete solar day (the time between successive noons).
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.