Triple
T16999862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan of the Golden Horde |
E412412
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Sarai Berke |
E1114883
|
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: Sarai Berke | Statement: [Khan of the Golden Horde, capital, Sarai Berke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarai Berke Context triple: [Khan of the Golden Horde, capital, Sarai Berke]
-
A.
Sarai Berke
chosen
Sarai Berke was a major medieval city on the lower Volga River that served as the political and economic center of the Golden Horde.
-
B.
Sofia Rosinsky
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
-
C.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
D.
Tatiana Schucht
Tatiana Schucht was an Italian-Russian revolutionary and close confidante of Antonio Gramsci, known for her role in supporting him during his imprisonment.
-
E.
Yulia Meltzer
Yulia Meltzer was a Ukrainian-born Jewish dancer best known as the wife of Yakov Dzhugashvili, Joseph Stalin’s eldest son.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1ac518819093fac61b5598d730 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.