Triple
T12435833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sajida |
E297140
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Sājida |
E297140
|
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: Sājida | Statement: [Sajida, hasVariantTransliteration, Sājida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sājida Context triple: [Sajida, hasVariantTransliteration, Sājida]
-
A.
Sajida
chosen
Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
-
B.
Gulbahar
Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
-
C.
Gulbahar
Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
-
D.
Sharifa
Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
-
E.
Salima
Salima is a character from the animated series "Beyblade," known as a member of the White Tigers team and an expert in using the Beyblade Galux.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f06d16481909ed2eb5195ebd7e4 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.