Triple
T17017373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Shams al-Nahar |
E412857
|
entity |
| Predicate | nameInArabic |
P6450
|
FINISHED |
| Object | شمس النهار |
E336384
|
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: شمس النهار | Statement: [Princess Shams al-Nahar, nameInArabic, شمس النهار]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: شمس النهار Context triple: [Princess Shams al-Nahar, nameInArabic, شمس النهار]
-
A.
Salió el Sol
"Salió el Sol" is a popular reggaeton song by Puerto Rican artist Don Omar, known for its upbeat rhythm and party-themed lyrics.
-
B.
Al-Ayyam
Al-Ayyam is the autobiographical work of Egyptian writer Taha Hussein, chronicling his childhood, blindness, and intellectual development.
-
C.
Ash-Shams
chosen
Ash-Shams is the 91st chapter of the Qur’an, known for its powerful oaths by the sun and its emphasis on the purification of the soul.
-
D.
Daybreak
Daybreak is a large master-planned residential community in South Jordan, Utah, known for its walkable neighborhoods, mixed-use design, and extensive parks and open spaces.
-
E.
Daybreak
Daybreak was a British weekday breakfast television programme on ITV that preceded Good Morning Britain, featuring news, entertainment, and lifestyle segments.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4d6cb881909b64b4368fd97fa9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.