Triple
T28659697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linford Christie |
E725431
|
entity |
| Predicate | wonEuropeanChampionshipsGoldInEvent |
P13985
|
FINISHED |
| Object | 100 metres |
—
|
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: 100 metres | Statement: [Linford Christie, wonEuropeanChampionshipsGoldInEvent, 100 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonEuropeanChampionshipsGoldInEvent Context triple: [Linford Christie, wonEuropeanChampionshipsGoldInEvent, 100 metres]
-
A.
wonEuropeanChampionship
chosen
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
B.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
-
C.
EuropeanChampionshipBronzeMedals
Indicates that an entity has won one or more bronze medals at a European Championship competition.
-
D.
EuropeanChampionshipSilverMedals
Indicates that the subject has won a silver medal in a European Championship competition.
-
E.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:57 a.m.