Triple
T617559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheshvan |
E14439
|
entity |
| Predicate | hasApproximateGregorianCorrespondence |
P11836
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Cheshvan, hasApproximateGregorianCorrespondence, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateGregorianCorrespondence Context triple: [Cheshvan, hasApproximateGregorianCorrespondence, October]
-
A.
dateRelativeToGregorian
chosen
Indicates how a given date is positioned or expressed in relation to the standard Gregorian calendar date.
-
B.
approximateStartCenturyBC
Indicates that an entity’s starting time or occurrence is approximately located within a specified century before the Common Era (BC).
-
C.
hasDateInLeapYear
Indicates that the associated date occurs in a leap year.
-
D.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
-
E.
hasAverageYearLength
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e2418c881908552d2c4a5006e97 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfd15288190b4abdbd0bce3edcd |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.