Triple
T5534156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | February |
E145118
|
entity |
| Predicate | isOnlyMonthWithFewerThan30Days |
P64776
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [February, isOnlyMonthWithFewerThan30Days, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnlyMonthWithFewerThan30Days Context triple: [February, isOnlyMonthWithFewerThan30Days, true]
-
A.
hasNumberOfDaysIn13thMonth
Indicates the specific count of days that occur in the thirteenth month of a given calendar or time system.
-
B.
isFinalMonthOf
Indicates that one time period is the last month within the duration or lifecycle of another specified period or process.
-
C.
hasNumberOfDaysIn13thMonthLeapYear
Indicates the specific count of days that occur in the thirteenth month of a leap year.
-
D.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
E.
isOnlyMonthWithNoFestivals
Indicates that the specified month is the unique month in a given context during which no festivals occur.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fa0141c81909a216be9f48d64e1 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:34 p.m.