Triple
T18455980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kırkpınar Başpehlivanı |
E450903
|
entity |
| Predicate | hasChampionClass |
P131706
|
FINISHED |
| Object | Başpehlivan (chief wrestler) division |
—
|
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: Başpehlivan (chief wrestler) division | Statement: [Kırkpınar Başpehlivanı, hasChampionClass, Başpehlivan (chief wrestler) division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChampionClass Context triple: [Kırkpınar Başpehlivanı, hasChampionClass, Başpehlivan (chief wrestler) division]
-
A.
memberChampion
Indicates that an entity serves as the champion or primary representative for a particular member within a group or organization.
-
B.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
-
C.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
D.
hasCharacterClass
Indicates that an entity (such as a character) belongs to or is assigned a particular character class or role type.
-
E.
heroClass
Indicates the character class or role that a hero belongs to within a given system or 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264c10408190b2085ade88655c7d |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.