Triple
T29649734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senegal vs Colombia (2018 FIFA World Cup) |
E756101
|
entity |
| Predicate | senegalPointsAfterMatch |
P168668
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Senegal vs Colombia (2018 FIFA World Cup), senegalPointsAfterMatch, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senegalPointsAfterMatch Context triple: [Senegal vs Colombia (2018 FIFA World Cup), senegalPointsAfterMatch, 4]
-
A.
moroccoGroupPositionAfterMatch
Indicates the position or ranking of Morocco’s group in a competition immediately after a specific match has been played.
-
B.
IcelandPointsAfterMatch
Indicates the number of points Iceland has accumulated immediately following a specific match.
-
C.
NigeriaGroupPositionAfterMatch
Indicates the group standing or rank of Nigeria in a competition immediately following a specific match.
-
D.
finalSecondLegScore
Indicates the score achieved in the second leg of a two-leg competition or matchup once that leg is completed.
-
E.
penaltyShootoutScore
Indicates the number of goals each side scored during a penalty shootout used to decide a tied match.
- 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_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 6:51 p.m.