Triple
T27146868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نتسيرت عيليت |
E681973
|
entity |
| Predicate | أغلبية_السكان |
P21204
|
FINISHED |
| Object | يهود |
—
|
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: يهود | Statement: [نتسيرت عيليت, أغلبية_السكان, يهود]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أغلبية_السكان Context triple: [نتسيرت عيليت, أغلبية_السكان, يهود]
-
A.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
B.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
C.
majorPopulation
Indicates that an entity serves as the primary or most significant population group associated with another entity (such as a place or organization).
-
D.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
E.
populationShareApproximate
Indicates that one entity’s share of a total population is approximately equal to a specified proportion or percentage, allowing for some margin of error.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c6dff08190ba0573eba9d63449 |
completed | May 2, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:12 a.m.