Triple
T15828917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salur Kazanun Evinin Yagmalandigi Boy |
E383816
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Salur Kazan
Salur Kazan is a legendary Oghuz Turkic hero and chieftain featured prominently in the medieval epic Book of Dede Korkut.
|
E1178971
|
NE FINISHED |
How this triple was built (4 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 Kazanun Evinin Yagmalandigi Boy, mainCharacter, Salur Kazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salur Kazan Context triple: [Salur Kazanun Evinin Yagmalandigi Boy, mainCharacter, Salur Kazan]
-
A.
Kazanin
Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
-
B.
Kasimov
Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
-
C.
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.
-
D.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
-
E.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Salur Kazan Triple: [Salur Kazanun Evinin Yagmalandigi Boy, mainCharacter, Salur Kazan]
Generated description
Salur Kazan is a legendary Oghuz Turkic hero and chieftain featured prominently in the medieval epic Book of Dede Korkut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salur Kazan Target entity description: Salur Kazan is a legendary Oghuz Turkic hero and chieftain featured prominently in the medieval epic Book of Dede Korkut.
-
A.
Kazanin
Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
-
B.
Kasimov
Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
-
C.
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.
-
D.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
-
E.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
- F. None of above. chosen
Provenance (5 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_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9bf7363c8190a65798028305b1da |
completed | May 9, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9c580d608190a7b3de11a924cba7 |
completed | May 9, 2026, 8:43 p.m. |
Created at: April 10, 2026, 4:49 a.m.