Triple
T28192575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethniki |
E716355
|
entity |
| Predicate | medalRecordContext |
P164114
|
FINISHED |
| Object | major international basketball competitions |
—
|
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: major international basketball competitions | Statement: [Ethniki, medalRecordContext, major international basketball competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalRecordContext Context triple: [Ethniki, medalRecordContext, major international basketball competitions]
-
A.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
B.
medalEventsFor
Indicates a relationship where one entity lists or specifies the medal-awarding events associated with another entity.
-
C.
medalsAttributedTo
Indicates that certain medals or awards are formally assigned or credited to a particular entity (such as a person, team, or organization).
-
D.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
E.
medalSignificance
Indicates the importance, value, or level of distinction that a particular medal represents in a given context.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642ce9aec8190bb3e76ca66824af7 |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:26 p.m.