Triple
T15829281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salur Kazan’in Yedi Baslı Ejderhayı Öldürdüğü Boy |
E383825
|
entity |
| Predicate | heroName |
P36851
|
FINISHED |
| Object | Salur Kazan |
E1178971
|
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: Salur Kazan | Statement: [Salur Kazan’in Yedi Baslı Ejderhayı Öldürdüğü Boy, heroName, Salur Kazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salur Kazan Context triple: [Salur Kazan’in Yedi Baslı Ejderhayı Öldürdüğü Boy, heroName, Salur Kazan]
-
A.
Salur Kazan
chosen
Salur Kazan is a legendary Oghuz Turkic hero and chieftain featured prominently in the medieval epic Book of Dede Korkut.
-
B.
Kazanin
Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
-
C.
Kasimov
Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
-
D.
Ak Bars Kazan
Ak Bars Kazan is a professional ice hockey club from Kazan, Russia, renowned as one of the country’s most successful and decorated teams.
-
E.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe69332c81909aa57e64de163cbe |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:49 a.m.