Triple
T9422254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thout |
E227180
|
entity |
| Predicate | hasDayCountPattern |
P88784
|
FINISHED |
| Object | fixed 30-day month |
—
|
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: fixed 30-day month | Statement: [Thout, hasDayCountPattern, fixed 30-day month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDayCountPattern Context triple: [Thout, hasDayCountPattern, fixed 30-day month]
-
A.
hasDayCount
Indicates that an entity is associated with a specific number of days, expressing the duration or count of days related to it.
-
B.
hasDayCountCommonYear
Indicates that something has a specified number of days as it occurs in a common (non-leap) year.
-
C.
hasDayCountLeapYear
Indicates that the associated day count value applies specifically to a leap year.
-
D.
hasDayUnit
Indicates that something is measured, expressed, or quantified in units of days.
-
E.
hasDayNumberRange
Indicates that something is associated with a contiguous range of day numbers between a specified minimum and maximum value.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:48 p.m.