Triple
T15534389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremlings |
E370304
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Kannon-type Kremlings |
E370304
|
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: Kannon-type Kremlings | Statement: [Kremlings, hasSubgroup, Kannon-type Kremlings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kannon-type Kremlings Context triple: [Kremlings, hasSubgroup, Kannon-type Kremlings]
-
A.
Kremlings
chosen
Kremlings are a recurring race of crocodilian villains in the Donkey Kong video game series, often serving as the primary antagonists led by King K. Rool.
-
B.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
-
C.
Gorky-130
Gorky-130 was the Soviet-era codename for the closed nuclear research city now known as Sarov in Russia.
-
D.
Konenkov
Konenkov is a Russian surname most notably associated with the sculptor Sergey Konenkov, often called the "Russian Rodin."
-
E.
OSK Brestsky
OSK Brestsky is a multi-purpose football stadium in Brest, Belarus, best known as the home ground of FC Dynamo Brest.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c39ffbc819089cea285e8145fa4 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:06 a.m.