Triple
T29710467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Sweden (2018 FIFA World Cup) |
E751763
|
entity |
| Predicate | SwedenHalftimeScore |
P11635
|
FINISHED |
| Object | 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: 1 | Statement: [Germany vs Sweden (2018 FIFA World Cup), SwedenHalftimeScore, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SwedenHalftimeScore Context triple: [Germany vs Sweden (2018 FIFA World Cup), SwedenHalftimeScore, 1]
-
A.
halftimeScore
chosen
Indicates the score or result of a game or match at the halfway point (halftime).
-
B.
hasHalftime
Indicates that an event, typically a game or performance, includes a designated halftime interval between its main segments.
-
C.
halftimeShow
Indicates a performance or entertainment event that takes place during the intermission between two halves of a game or match.
-
D.
semifinalResult
Indicates the outcome or score of a semifinal-stage contest or match between competitors.
-
E.
halftimeProducer
Indicates that one entity is the producer responsible for creating or organizing the halftime segment of an event, such as a sports game or show.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:30 p.m.