Triple
T29710463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Sweden (2018 FIFA World Cup) |
E751763
|
entity |
| Predicate | GermanyRedCards |
P169688
|
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), GermanyRedCards, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanyRedCards Context triple: [Germany vs Sweden (2018 FIFA World Cup), GermanyRedCards, 1]
-
A.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
-
B.
oneOfGermanys
Indicates that something or someone belongs to the set of entities that are part of, originate from, or are associated with Germany.
-
C.
GermanyFormation
Indicates the event or process by which Germany was established or formed as a political entity.
-
D.
certificationGermany
Indicates that an entity holds or is associated with a certification that is valid, recognized, or issued in Germany.
-
E.
GermanLabel
Indicates the label or name of an entity expressed in the German language.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 28, 2026, 7:30 p.m.