Triple
T617578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheshvan |
E14439
|
entity |
| Predicate | seasonInLandOfIsrael |
P14881
|
FINISHED |
| Object | beginning of the rainy season |
—
|
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: beginning of the rainy season | Statement: [Cheshvan, seasonInLandOfIsrael, beginning of the rainy season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonInLandOfIsrael Context triple: [Cheshvan, seasonInLandOfIsrael, beginning of the rainy season]
-
A.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
B.
seasonCharacterization
chosen
Indicates how a particular season is described, defined, or characterized in terms of its qualities or attributes.
-
C.
regionOnWestBank
Indicates that one region is located on the western bank of another geographic feature, such as a river or body of water.
-
D.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
-
E.
positionInHebrewCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Hebrew calendar.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e2418c881908552d2c4a5006e97 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfd15288190b4abdbd0bce3edcd |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.