Triple
T4872966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunus |
E109128
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Younas |
E476683
|
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: Younas | Statement: [Yunus, transliterationVariant, Younas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Younas Context triple: [Yunus, transliterationVariant, Younas]
-
A.
Younus
chosen
Younus is a male given name of Arabic origin, commonly associated with the Quranic and Biblical figure Jonah.
-
B.
Younes
Younes is a male given name commonly used in Arabic-speaking and Muslim-majority cultures, corresponding to the name Yunus (Jonah).
-
C.
Ilyas
Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
-
D.
Naeem
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
-
E.
Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9fa0b08190ab1fc7ec395dca37 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb5da2c8190aeec7d6d11b12b11 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:27 p.m.