Triple
T3903669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saur Revolution |
E90553
|
entity |
| Predicate | calendarMonthNameOrigin |
P52789
|
FINISHED |
| Object | Saur month in the Afghan calendar |
—
|
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: Saur month in the Afghan calendar | Statement: [Saur Revolution, calendarMonthNameOrigin, Saur month in the Afghan calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calendarMonthNameOrigin Context triple: [Saur Revolution, calendarMonthNameOrigin, Saur month in the Afghan calendar]
-
A.
monthName2
Indicates that two entities are associated as the same calendar month, where one provides the month’s name and the other represents that month in another form (such as a number or date).
-
B.
modernHolidayName
Indicates that an entity is known by a holiday name used in modern or contemporary times.
-
C.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
D.
themeOfMonthNames
Indicates that something serves as the subject, topic, or focus associated with a particular month name or set of month names.
-
E.
monthName12
Indicates that the referenced entity is identified as the twelfth month of the year, December.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:22 p.m.