Triple
T18318678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essential Quality |
E438811
|
entity |
| Predicate | juvenileChampion |
P131332
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Essential Quality, juvenileChampion, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juvenileChampion Context triple: [Essential Quality, juvenileChampion, yes]
-
A.
finalChampion
Indicates that an entity is the ultimate winner or last remaining champion in a competition or series of contests.
-
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.
champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
-
D.
defendingChampion
Indicates that an entity currently holds a title or championship and is defending it against challengers.
-
E.
youngestUSChampionYear
Indicates the year in which an entity became the youngest champion of the United States in a given competition or domain.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.