Triple
T29290179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina vs Croatia (2018 FIFA World Cup Group D) |
E742638
|
entity |
| Predicate | ArgentinaPreviousGroupMatchResult |
P91906
|
FINISHED |
| Object | 1–1 draw with Iceland |
—
|
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: 1–1 draw with Iceland | Statement: [Argentina vs Croatia (2018 FIFA World Cup Group D), ArgentinaPreviousGroupMatchResult, 1–1 draw with Iceland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArgentinaPreviousGroupMatchResult Context triple: [Argentina vs Croatia (2018 FIFA World Cup Group D), ArgentinaPreviousGroupMatchResult, 1–1 draw with Iceland]
-
A.
ArgentinaPreviousGroupMatch
Indicates that Argentina participated in a previous group-stage match in the relevant competition or tournament.
-
B.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
C.
resultOfMatch
Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
-
D.
wonRecopaSudamericana
Indicates that one entity has won the Recopa Sudamericana football competition.
-
E.
homeTeamPreviousMatchResult
chosen
Indicates the outcome (win, loss, draw, etc.) of the home team’s most recent match prior to the current one.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 1:01 p.m.