Triple
T14482971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish men's national basketball team |
E359155
|
entity |
| Predicate | MediterraneanGamesGoldMedal |
P114379
|
FINISHED |
| Object | 1955 Mediterranean Games |
—
|
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: 1955 Mediterranean Games | Statement: [Spanish men's national basketball team, MediterraneanGamesGoldMedal, 1955 Mediterranean Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MediterraneanGamesGoldMedal Context triple: [Spanish men's national basketball team, MediterraneanGamesGoldMedal, 1955 Mediterranean Games]
-
A.
allAfricaGamesGoldMedal
Indicates that the subject has won a gold medal at the All-Africa Games.
-
B.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
C.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
EuropeanChampionshipSilverMedals
Indicates that the subject has won a silver medal in a European Championship competition.
-
E.
silverMedalistCountry
Indicates the country that achieved second place (won the silver medal) in a given competition or event.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.