Triple
T35305229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الناصرة |
E1019617
|
entity |
| Predicate | تضم_أقلية |
P65548
|
FINISHED |
| Object | مسيحيون عرب |
—
|
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: مسيحيون عرب | Statement: [الناصرة, تضم_أقلية, مسيحيون عرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تضم_أقلية Context triple: [الناصرة, تضم_أقلية, مسيحيون عرب]
-
A.
minority
chosen
Indicates that one entity belongs to a smaller, less represented, or non-dominant group within a larger population or context.
-
B.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
C.
minorityReign
Indicates a period during which a ruler holds power while still a minor, so governance is exercised under regency or special arrangements due to their underage status.
-
D.
minorityMajority
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
-
E.
minorityGroups
Indicates that the subject is classified as belonging to one or more groups that are numerically, politically, or socially underrepresented or disadvantaged within a larger population.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904ec4dc8190bebc92e83e5a0a95 |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.