Triple
T24295025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumada al-ula |
E605933
|
entity |
| Predicate | shiftsThrough |
P155453
|
FINISHED |
| Object | Gregorian seasons |
—
|
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: Gregorian seasons | Statement: [Jumada al-ula, shiftsThrough, Gregorian seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shiftsThrough Context triple: [Jumada al-ula, shiftsThrough, Gregorian seasons]
-
A.
shiftsWhen
Indicates that one state, condition, or configuration changes to another under specified circumstances or triggers.
-
B.
shiftedUnder
Indicates that one entity has been moved or displaced to a position beneath another entity.
-
C.
shiftsRightsTo
Indicates that one party transfers or reassigns its legal rights or entitlements to another party.
-
D.
marksShiftToward
Indicates a change or transition from one state, condition, or position toward another, highlighting the direction or trend of that shift.
-
E.
hasDynamicShifts
Indicates that something exhibits changes or transitions in state, intensity, or behavior over time rather than remaining constant.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:09 a.m.