Triple
T15724391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israeli national emblem |
E381184
|
entity |
| Predicate | menorahType |
P119929
|
FINISHED |
| Object | seven-branched menorah |
—
|
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-branched menorah | Statement: [Israeli national emblem, menorahType, seven-branched menorah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menorahType Context triple: [Israeli national emblem, menorahType, seven-branched menorah]
-
A.
positionInMenorah
Indicates the specific location or ordering of an element within a menorah structure.
-
B.
hasNumberOfShamashLights
Indicates the relationship specifying how many Shamash (helper) lights are present or associated with an object or setting.
-
C.
candleCountOnHanukkiah
Indicates the number of candles placed on a given Hanukkiah in a particular context or moment.
-
D.
TuBiShvatType
Indicates the specific type or category of Tu BiShvat-related observance, event, or classification associated with an entity.
-
E.
holiestNightIn
Indicates that a particular night is considered the most sacred or religiously significant within a given place, context, or tradition.
- F. None of above. chosen
Provenance (4 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.