Triple
T7237309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riffian Berber |
E155261
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Arabic (lexicon) |
E308077
|
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 (lexicon) | Statement: [Riffian Berber, influencedBy, Arabic (lexicon)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabic (lexicon) Context triple: [Riffian Berber, influencedBy, Arabic (lexicon)]
-
A.
Arabic–English Lexicon
chosen
The Arabic–English Lexicon is a monumental 19th-century dictionary of classical Arabic, renowned for its scholarly depth and enduring importance in Arabic studies.
-
B.
Arabic
Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
-
C.
Arabic Supplement
Arabic Supplement is a Unicode block that contains additional Arabic script characters used for extended orthographic and contextual purposes beyond the basic Arabic block.
-
D.
Arabic alphabet
The Arabic alphabet is a cursive, right-to-left abjad script used across the Arab world and adapted for many other languages, including Persian, Urdu, and Pashto.
-
E.
Najdi Arabic
Najdi Arabic is a central Arabian dialect of the Arabic language spoken primarily in the Najd region of Saudi Arabia.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea355e888190a97de097158933ca |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc381a4081909a8ea7ee02348328 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.