Triple
T25266883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Law: Nation-State of the Jewish People |
E633454
|
entity |
| Predicate | statusOfArabic |
P162996
|
FINISHED |
| Object | language with special status |
—
|
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: language with special status | Statement: [Basic Law: Nation-State of the Jewish People, statusOfArabic, language with special status]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfArabic Context triple: [Basic Law: Nation-State of the Jewish People, statusOfArabic, language with special status]
-
A.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
-
B.
statusInIran
Indicates the legal, social, or political standing or condition of an entity specifically within the context of Iran.
-
C.
statusInHadith
Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
-
D.
statusInSira
Indicates the status or standing that an entity holds within the Sira system or classification.
-
E.
statusInMaghrib
Indicates the status, condition, or standing that an entity holds within the context of the Maghrib region.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 21, 2026, 1:16 p.m.