Triple
T546387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semitic languages |
E12741
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Arabic |
E1330
|
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: Arabic | Statement: [Semitic languages, hasLanguage, Arabic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabic Context triple: [Semitic languages, hasLanguage, Arabic]
-
A.
Arabic
chosen
Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
-
B.
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.
-
C.
Egyptian Arabic
Egyptian Arabic is the most widely understood modern Arabic dialect, centered in Egypt and heavily influenced by the speech and media of Cairo.
-
D.
Mesopotamian Arabic
Mesopotamian Arabic is a major variety of Arabic spoken primarily in Iraq and neighboring regions, characterized by distinctive phonological and grammatical features that set it apart from other Arabic dialects.
-
E.
Gulf Arabic
Gulf Arabic is a regional variety of the Arabic language spoken primarily in the countries bordering the Persian Gulf, characterized by distinct phonological and lexical features.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e150e88190b35b1bc7a376ca07 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d044b03c8190b7c87b0da05e4d6e |
completed | March 1, 2026, 11:48 p.m. |
Created at: March 1, 2026, 7:32 p.m.