Triple
T28986848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Muir |
E734708
|
entity |
| Predicate | isOlympicMedalistIn |
P166272
|
FINISHED |
| Object | 1500 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: 1500 metres | Statement: [Laura Muir, isOlympicMedalistIn, 1500 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOlympicMedalistIn Context triple: [Laura Muir, isOlympicMedalistIn, 1500 metres]
-
A.
hasWonOlympicMedals
Indicates that the subject has earned one or more medals in Olympic Games competitions.
-
B.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
-
C.
olympicChampionIn
Indicates that an entity has won a championship title in a specified Olympic sport or event.
-
D.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
E.
olympicGoldWith
Indicates that the related entities won an Olympic gold medal together, typically as teammates in the same event or competition.
- F. None of above. chosen
Provenance (4 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 9:15 a.m.