Triple
T29649588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland vs Senegal (2018 FIFA World Cup) |
E756097
|
entity |
| Predicate | team1PreTournamentPot |
P168769
|
FINISHED |
| Object | Pot 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: Pot 1 | Statement: [Poland vs Senegal (2018 FIFA World Cup), team1PreTournamentPot, Pot 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team1PreTournamentPot Context triple: [Poland vs Senegal (2018 FIFA World Cup), team1PreTournamentPot, Pot 1]
-
A.
team2PreTournamentPot
Indicates the seeding pot or grouping assigned to the second team before a tournament begins.
-
B.
team1PreTournamentFIFARankingHigher
Indicates that the first team had a higher FIFA ranking than the second team before the tournament began.
-
C.
teamCoachedAtTournament
Indicates that a coach was responsible for coaching a specific team at a particular tournament.
-
D.
teamCoachedToTournament
Indicates that a coach led or trained a team that participated in a specific tournament.
-
E.
tournamentRunnerUpTeam
Indicates that a team finished in second place in a tournament, just below the champion.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 6:51 p.m.