Triple
T3005061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marḥeshvan |
E81880
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Marcheshvan |
E14439
|
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: Marcheshvan | Statement: [Marḥeshvan, hasAlternativeName, Marcheshvan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcheshvan Context triple: [Marḥeshvan, hasAlternativeName, Marcheshvan]
-
A.
Tevet
Tevet is a winter month in the Hebrew calendar, typically falling in December–January and associated with several Jewish fasts and historical commemorations.
-
B.
Kislev
Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
-
C.
Cheshvan
chosen
Cheshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
-
D.
Shevat
Shevat is the eleventh month of the Hebrew calendar, typically falling in January–February in the Gregorian calendar.
-
E.
Nisan
Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a15ad9c81908255003bdb38d603 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e56bbd881909680248acca30557 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.