Triple
T8710855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sene |
E206771
|
entity |
| Predicate | isMonthNumber |
P26545
|
FINISHED |
| Object | 10 in the Ethiopian year |
—
|
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: 10 in the Ethiopian year | Statement: [Sene, isMonthNumber, 10 in the Ethiopian year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMonthNumber Context triple: [Sene, isMonthNumber, 10 in the Ethiopian year]
-
A.
monthNumber
chosen
Indicates the numerical position of a month within a calendar year (e.g., January = 1, February = 2, etc.).
-
B.
isOnlyMonthWithFewerThan30Days
Indicates that the subject month is uniquely the single month in a given set or context that has fewer than 30 days.
-
C.
isFinalMonthOf
Indicates that one time period is the last month within the duration or lifecycle of another specified period or process.
-
D.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
E.
dayOfMonth
Indicates the specific calendar day number within a given month on which something occurs or is associated.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3189f88190bb9bb77ba9d28d60 |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.