Triple
T3206762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeri Kharlamov |
E67179
|
entity |
| Predicate | numberOfGamesForNationalTeam |
P13109
|
FINISHED |
| Object | 292 |
—
|
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: 292 | Statement: [Valeri Kharlamov, numberOfGamesForNationalTeam, 292]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesForNationalTeam Context triple: [Valeri Kharlamov, numberOfGamesForNationalTeam, 292]
-
A.
nationalTeamAppearances
chosen
Indicates the number of official matches in which an entity has represented its national team.
-
B.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
C.
previousNationalTeamEntity
Indicates that an entity previously represented a particular national team before its current or later affiliation.
-
D.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
E.
goalsForNationalTeam
Indicates the number of goals an individual has scored while playing for their national team.
- F. None of above.
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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa56c21c8190b6aa7c56cb15ad56 |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.