Triple
T6512217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo Farah |
E150162
|
entity |
| Predicate | olympicGoldMedalIn |
P57435
|
FINISHED |
| Object | 5000 metres at the 2012 Summer Olympics |
—
|
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: 5000 metres at the 2012 Summer Olympics | Statement: [Mo Farah, olympicGoldMedalIn, 5000 metres at the 2012 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicGoldMedalIn Context triple: [Mo Farah, olympicGoldMedalIn, 5000 metres at the 2012 Summer Olympics]
-
A.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
B.
olympicGoldMedalInEvent
chosen
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
C.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
-
D.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
-
E.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.