Triple
T1267606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian calendar |
E15636
|
entity |
| Predicate | usesMonths |
P6433
|
FINISHED |
| Object | April |
E6412
|
NE 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: April | Statement: [Julian calendar, usesMonths, April]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: April Context triple: [Julian calendar, usesMonths, April]
-
A.
April
chosen
April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
-
B.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
C.
Maio
Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
-
D.
February
February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
-
E.
June
June is an early-summer month in the Northern Hemisphere often associated with favorable weather for outdoor activities and mountaineering.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c48bec548190b25d4a74b323cc1b |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f1d1008190bd86948eb1b35b2d |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.