Triple
T924516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol |
E19953
|
entity |
| Predicate | hasSolarCycle_length_years |
P21601
|
FINISHED |
| Object | about 11 |
—
|
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 11 | Statement: [Sol, hasSolarCycle_length_years, about 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSolarCycle_length_years Context triple: [Sol, hasSolarCycle_length_years, about 11]
-
A.
hasSolarDayLength
Indicates that an entity is associated with a specific duration for one complete solar day (the time between successive noons).
-
B.
hasAverageYearLength
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
-
C.
occursInYearsOfCycle
Indicates that an event or phenomenon takes place during specific years within a recurring multi-year cycle.
-
D.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
E.
hasOrbitalPeriod
Indicates that one entity completes a full orbit around another entity within a specified duration.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.