Triple
T15004257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniyal |
E377668
|
entity |
| Predicate | hasAlternativeTransliteration |
P5923
|
FINISHED |
| Object | Danyal |
E377668
|
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: Danyal | Statement: [Daniyal, hasAlternativeTransliteration, Danyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danyal Context triple: [Daniyal, hasAlternativeTransliteration, Danyal]
-
A.
Daniyal
chosen
Daniyal is a masculine given name commonly used in various cultures, often considered a variant of the name Daniel.
-
B.
Ilyas
Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
-
C.
Thadiq
Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
-
D.
Naeem
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
-
E.
Suhail
Suhail is the Arabic name for Canopus, the second-brightest star in the night sky and a key navigational star historically used by Arab sailors and desert travelers.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a04eec8190b347bf3637aba0bc |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.