Triple
T8391889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midori Ito |
E197961
|
entity |
| Predicate | WorldChampionshipsSilver |
P15198
|
FINISHED |
| Object | 1990 Halifax |
—
|
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: 1990 Halifax | Statement: [Midori Ito, WorldChampionshipsSilver, 1990 Halifax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldChampionshipsSilver Context triple: [Midori Ito, WorldChampionshipsSilver, 1990 Halifax]
-
A.
worldChampionshipSilverMedals
chosen
Indicates that the subject has won one or more silver medals at a world championship competition.
-
B.
EuropeanChampionshipSilverMedals
Indicates that the subject has won a silver medal in a European Championship competition.
-
C.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
D.
worldChampionshipBronzeMedals
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
E.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
- 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.