Triple
T27702168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbia national football team |
E698454
|
entity |
| Predicate | OlympicFootballBronzeMedalYear |
P24945
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Serbia national football team, OlympicFootballBronzeMedalYear, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicFootballBronzeMedalYear Context triple: [Serbia national football team, OlympicFootballBronzeMedalYear, 1984]
-
A.
olympicBronzeYear
chosen
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
B.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
C.
olympicBronzeMedalCity
Indicates that a city is the location where an Olympic bronze medal was won or awarded.
-
D.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
E.
totalOlympicBronzeMedals
Indicates the total number of Olympic bronze medals that an entity has earned or been awarded.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 2:57 p.m.