Triple
T4496967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfréd Hajós |
E100720
|
entity |
| Predicate | medalForEvent |
P7488
|
FINISHED |
| Object | gold medal in 100 metre freestyle at 1896 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: gold medal in 100 metre freestyle at 1896 Olympics | Statement: [Alfréd Hajós, medalForEvent, gold medal in 100 metre freestyle at 1896 Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalForEvent Context triple: [Alfréd Hajós, medalForEvent, gold medal in 100 metre freestyle at 1896 Olympics]
-
A.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
B.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
C.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
D.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
E.
OlympicMedalEvent
chosen
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bf3ff48190b3aae0136d7fce45 |
completed | March 20, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.