Triple
T9361488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoshanot |
E225284
|
entity |
| Predicate | numberOfCircuitsOnHoshanaRabbah |
P64677
|
FINISHED |
| Object | seven |
—
|
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: seven | Statement: [Hoshanot, numberOfCircuitsOnHoshanaRabbah, seven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCircuitsOnHoshanaRabbah Context triple: [Hoshanot, numberOfCircuitsOnHoshanaRabbah, seven]
-
A.
candleCountOnHanukkiah
Indicates the number of candles placed on a given Hanukkiah in a particular context or moment.
-
B.
numberOfCircuits
chosen
Indicates the total count of circuits associated with or contained in a given entity or system.
-
C.
observanceLengthInIsrael
Indicates the duration or number of days that a particular observance is kept specifically in Israel.
-
D.
timeframeRelativeToRoshHashanah
Indicates the temporal relationship of an event or period in reference to Rosh Hashanah (e.g., before, during, or after the holiday).
-
E.
candlesLitFirstNight
Indicates that the candles were lit on the first night of an event, ritual, or sequence.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff4268c819099dd5fe79d93e7ea |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.