Triple
T21531300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalends |
E531235
|
entity |
| Predicate | reckoningMethod |
P24421
|
FINISHED |
| Object | other days counted backward from Kalends, Nones, or Ides |
—
|
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: other days counted backward from Kalends, Nones, or Ides | Statement: [Kalends, reckoningMethod, other days counted backward from Kalends, Nones, or Ides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reckoningMethod Context triple: [Kalends, reckoningMethod, other days counted backward from Kalends, Nones, or Ides]
-
A.
rollMethod
Indicates the method or technique by which a rolling action is performed or executed between entities.
-
B.
accrualMethod
Indicates the method or basis by which something (such as interest, revenue, or benefits) is accumulated or recognized over time.
-
C.
calculationType
chosen
Indicates the specific method, formula, or approach used to perform a calculation in the described relationship.
-
D.
reconstructionMethod
Indicates the technique or process used to reconstruct, restore, or rebuild something from its original or fragmented state.
-
E.
realizationMethod
Indicates the means, process, or technique by which something is carried out, implemented, or brought into effect.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d08ebf881909574e098404f93fa |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.