Triple
T11966638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denmark national football team |
E284805
|
entity |
| Predicate | olympicFootballMedal |
P7487
|
FINISHED |
| Object | silver medal at 1908 Summer Olympics |
—
|
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: silver medal at 1908 Summer Olympics | Statement: [Denmark national football team, olympicFootballMedal, silver medal at 1908 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicFootballMedal Context triple: [Denmark national football team, olympicFootballMedal, silver medal at 1908 Summer Olympics]
-
A.
wonOlympicFootballTournament
Indicates that an entity secured first place in the Olympic football (soccer) tournament in a given edition of the Olympic Games.
-
B.
WorldCupMedal
Indicates that an entity has received a medal (e.g., gold, silver, bronze) for its performance in a FIFA World Cup tournament.
-
C.
olympicFootballAppearances
Indicates the number of times an entity has participated in Olympic football (soccer) tournaments.
-
D.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
E.
OlympicMedal
chosen
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.