Triple
T5528792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | July |
E144993
|
entity |
| Predicate | isPeakVacationMonthIn |
P64744
|
FINISHED |
| Object | many Northern Hemisphere countries |
—
|
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: many Northern Hemisphere countries | Statement: [July, isPeakVacationMonthIn, many Northern Hemisphere countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPeakVacationMonthIn Context triple: [July, isPeakVacationMonthIn, many Northern Hemisphere countries]
-
A.
requiresReservationInPeakSeason
Indicates that the subject can only be accessed or used during peak season if a reservation has been made in advance.
-
B.
isOnlyMonthWithNoFestivals
Indicates that the specified month is the unique month in a given context during which no festivals occur.
-
C.
hasImportantHoliday
Indicates that an entity is associated with a holiday considered significant or special in some context.
-
D.
containsHolidayInUnitedStates
Indicates that the referenced time period or schedule includes at least one officially recognized holiday in the United States.
-
E.
isFederalHoliday
Indicates that a given day is officially recognized as a federal holiday by the national government.
- 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_69c01f8b6c348190b7d414dc1907d09a |
completed | March 22, 2026, 4:57 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.