Triple
T27146869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نتسيرت عيليت |
E681973
|
entity |
| Predicate | أقلية_كبيرة_من_السكان |
P51820
|
FINISHED |
| Object | عرب فلسطينيون |
—
|
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: عرب فلسطينيون | Statement: [نتسيرت عيليت, أقلية_كبيرة_من_السكان, عرب فلسطينيون]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أقلية_كبيرة_من_السكان Context triple: [نتسيرت عيليت, أقلية_كبيرة_من_السكان, عرب فلسطينيون]
-
A.
hasVerySmallResidentPopulation
Indicates that the subject location has a resident population that is extremely small in size.
-
B.
majorPopulation
Indicates that an entity serves as the primary or most significant population group associated with another entity (such as a place or organization).
-
C.
minorityMajority
chosen
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
-
D.
minority
Indicates that one entity belongs to a smaller, less represented, or non-dominant group within a larger population or context.
-
E.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
- 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.