Triple
T22652549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shihhi Arabic |
E559130
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Shehhi Arabic |
—
|
NE NERFINISHED |
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: Shehhi Arabic | Statement: [Shihhi Arabic, hasAlternativeName, Shehhi Arabic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shehhi Arabic Context triple: [Shihhi Arabic, hasAlternativeName, Shehhi Arabic]
-
A.
Shihhi Arabic
chosen
Shihhi Arabic is a regional variety of Arabic spoken primarily by the Shihuh people in the Musandam Peninsula of Oman and neighboring areas of the United Arab Emirates.
-
B.
Shami Arabic
Shami Arabic is a major colloquial variety of Arabic spoken across the Levant, including Syria, Lebanon, Jordan, Palestine, and surrounding areas.
-
C.
Hijazi Arabic
Hijazi Arabic is a major regional variety of Arabic spoken primarily in western Saudi Arabia, especially in the Hijaz region including cities like Mecca, Medina, and Jeddah.
-
D.
Arabic
Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
-
E.
Shua Arabic
Shua Arabic is a variety of Arabic spoken primarily by nomadic and semi-nomadic communities in Chad and neighboring regions of Central Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703d7d648190aafe275cd04c47cf |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:06 p.m.