Triple
T29585439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meskerem |
E753706
|
entity |
| Predicate | positionInCalendarYear |
P46420
|
FINISHED |
| Object | first month of the Ethiopian 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: first month of the Ethiopian calendar | Statement: [Meskerem, positionInCalendarYear, first month of the Ethiopian calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCalendarYear Context triple: [Meskerem, positionInCalendarYear, first month of the Ethiopian calendar]
-
A.
positionInCivilYear
chosen
Indicates the specific point or ordering of something within the sequence of time units that make up a civil (calendar) year.
-
B.
positionInGregorianCalendar
Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
-
C.
positionInMonth
Indicates the specific ordinal position or occurrence of something within a given month (e.g., first, second, third).
-
D.
positionInWheelOfYear
Indicates the specific place or phase an event, festival, or time period occupies within the cyclical sequence of the Wheel of the Year.
-
E.
typicalCalendarPosition
Indicates the usual or standard placement of something within a calendar sequence, such as its customary date, time, or ordering.
- F. None of above.
Provenance (3 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 28, 2026, 6:10 p.m.