Triple
T3643303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faifi Arabic |
E77238
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Fayfa Arabic |
E77238
|
NE 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: Fayfa Arabic | Statement: [Faifi Arabic, hasAlternativeName, Fayfa Arabic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fayfa Arabic Context triple: [Faifi Arabic, hasAlternativeName, Fayfa Arabic]
-
A.
Faifi Arabic
chosen
Faifi Arabic is a regional variety of Arabic spoken in the Faifa (Fayfa) mountain area of southwestern Saudi Arabia, closely related to Yemeni Arabic.
-
B.
Yafiʿi Arabic
Yafiʿi Arabic is a regional variety of Yemeni Arabic spoken primarily in the Yafaʿ area of southern Yemen, characterized by its own distinct phonological and lexical features.
-
C.
Razihi Arabic
Razihi Arabic is a highly distinctive and conservative Arabic variety spoken in the Razih region of northwestern Yemen, noted for preserving archaic linguistic features.
-
D.
Shami Arabic
Shami Arabic is a major colloquial variety of Arabic spoken across the Levant, including Syria, Lebanon, Jordan, Palestine, and surrounding areas.
-
E.
Arabic
Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35acf2c81908f60168e93b773b1 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3207688190b8d93e2e833b15a0 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.