Triple
T22638665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentin Ivanov |
E558756
|
entity |
| Predicate | nationalTeamNumberOfGoals |
P43239
|
FINISHED |
| Object | high goal tally for USSR national team |
—
|
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: high goal tally for USSR national team | Statement: [Valentin Ivanov, nationalTeamNumberOfGoals, high goal tally for USSR national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTeamNumberOfGoals Context triple: [Valentin Ivanov, nationalTeamNumberOfGoals, high goal tally for USSR national team]
-
A.
nationalTeamPoints
Indicates the number of points a national team has earned, typically within a specific competition, season, or ranking system.
-
B.
goalsForNationalTeam
chosen
Indicates the number of goals an individual has scored while playing for their national team.
-
C.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
D.
nationalTeamTries
Indicates the number of tries a player has scored while representing their national team.
-
E.
nationalFootballTeam
Indicates that one entity is the official football (soccer) team representing the other entity at the national level.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:04 p.m.