Triple
T24644969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Torpedo Moscow |
E610080
|
entity |
| Predicate | SovietTopLeagueTitles |
P156891
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [FC Torpedo Moscow, SovietTopLeagueTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SovietTopLeagueTitles Context triple: [FC Torpedo Moscow, SovietTopLeagueTitles, 3]
-
A.
RussianSuperleagueTitles
Indicates the number of Russian Superleague championship titles an entity has won.
-
B.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
C.
KHLGagarinCupWinner
Indicates that the subject is the team that won the Gagarin Cup championship in the Kontinental Hockey League (KHL) for a given season.
-
D.
numberOfCzechoslovakTitles
Indicates the number of titles or championships an entity has won in Czechoslovakia.
-
E.
UEFAInterCitiesFairsCupTitles
Indicates the number of UEFA Inter-Cities Fairs Cup titles an entity has won.
- F. None of above. chosen
Provenance (4 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 2:33 a.m.