Triple
T23467311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharma |
E569129
|
entity |
| Predicate | isTransliteratedAs |
P5923
|
FINISHED |
| Object | Sarma |
—
|
NE NERFINISHED |
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: Sarma | Statement: [Sharma, isTransliteratedAs, Sarma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarma Context triple: [Sharma, isTransliteratedAs, Sarma]
-
A.
Sarma
chosen
Sarma is a traditional dish of vine or cabbage leaves wrapped around a savory filling, commonly enjoyed throughout Turkish and other Balkan and Middle Eastern cuisines.
-
B.
Loghoma
Loghoma is an alternative name for the Loma people, an ethnic group primarily found in Liberia and neighboring West African regions.
-
C.
Khinkali
Khinkali is a popular Georgian dumpling typically filled with spiced meat and broth, known for its distinctive twisted top and eaten by hand.
-
D.
Rozogi
Rozogi is a village in northern Poland that serves as a local administrative and service center within the Warmian-Masurian Voivodeship.
-
E.
Meat Square
Meat Square is a public square in Istanbul, Turkey, historically associated with the city’s meat markets and trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fc35c48190a67614fb4170f15b |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.