Triple
T25407409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | men's discus throw at the 1952 Summer Olympics |
E636595
|
entity |
| Predicate | countryWithMultipleMedals |
P168887
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [men's discus throw at the 1952 Summer Olympics, countryWithMultipleMedals, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryWithMultipleMedals Context triple: [men's discus throw at the 1952 Summer Olympics, countryWithMultipleMedals, United States]
-
A.
silverMedalistCountry
Indicates the country that achieved second place (won the silver medal) in a given competition or event.
-
B.
medalistForCountry
Indicates that an entity is a medal-winning representative (medalist) competing on behalf of a specified country.
-
C.
teamNumberOfOlympicGoldMedals
Indicates the number of Olympic gold medals that a given team has won.
-
D.
isOlympicMedalistIn
Indicates that an individual has won at least one Olympic medal in a specified sport or event.
-
E.
mostGoldMedalsByAthlete
Indicates that the subject athlete holds the highest number of gold medals compared to all other athletes in the specified context.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 21, 2026, 1:52 p.m.