Triple
T24644973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Torpedo Moscow |
E610080
|
entity |
| Predicate | RussianCupTitles |
P156892
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [FC Torpedo Moscow, RussianCupTitles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RussianCupTitles Context triple: [FC Torpedo Moscow, RussianCupTitles, 1]
-
A.
RussianSuperleagueTitles
Indicates the number of Russian Superleague championship titles an entity has won.
-
B.
RussianChampionshipWinner
Indicates that the subject is the winner of a Russian national championship in a specified field or competition.
-
C.
worldChampionshipGoldMedalYearsAsRussia
Indicates the years in which an entity won world championship gold medals while competing under Russia.
-
D.
challengeCupTitles
Indicates the number of Challenge Cup titles that an entity has won.
-
E.
goldCupTitles
Indicates the number of CONCACAF Gold Cup titles that an entity (typically a team or country) 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.