Triple
T8391891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midori Ito |
E197961
|
entity |
| Predicate | WorldChampionshipsBronze |
P15199
|
FINISHED |
| Object | 1988 Budapest |
—
|
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: 1988 Budapest | Statement: [Midori Ito, WorldChampionshipsBronze, 1988 Budapest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldChampionshipsBronze Context triple: [Midori Ito, WorldChampionshipsBronze, 1988 Budapest]
-
A.
worldChampionshipBronzeMedals
chosen
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
B.
EuropeanChampionshipBronzeMedals
Indicates that an entity has won one or more bronze medals at a European Championship competition.
-
C.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
D.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
-
E.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810e16b081908e2c25bfb9d590ed |
completed | March 31, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:03 p.m.