Triple
T1838184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopian calendar |
E41113
|
entity |
| Predicate | 13thMonthName |
P33969
|
FINISHED |
| Object | Pagumen |
—
|
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: Pagumen | Statement: [Ethiopian calendar, 13thMonthName, Pagumen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 13thMonthName Context triple: [Ethiopian calendar, 13thMonthName, Pagumen]
-
A.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
B.
monthNumber
Indicates the numerical position of a month within a calendar year (e.g., January = 1, February = 2, etc.).
-
C.
monthLengthPattern
Indicates the recurring sequence or pattern of the number of days in the months within a given calendar or time system.
-
D.
monthOfBengaliCalendar
Indicates that one entity specifies the month associated with a date or event according to the Bengali calendar.
-
E.
commandedAsFirstMonthIn
Indicates that an entity is designated or ordered to serve as the first month within a specified temporal system or context.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.