Triple
T12372100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AP exams |
E295027
|
entity |
| Predicate | scoreMeaning_5 |
P37395
|
FINISHED |
| Object | extremely well qualified |
—
|
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: extremely well qualified | Statement: [AP exams, scoreMeaning_5, extremely well qualified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreMeaning_5 Context triple: [AP exams, scoreMeaning_5, extremely well qualified]
-
A.
fifthSingle
Indicates that an entity is the fifth single (in release order) associated with another entity, such as an artist or an album.
-
B.
B_5
Indicates a relationship where one entity is associated with or classified under a specific category, group, or type represented by the other entity.
-
C.
fifthWinner
Indicates that an entity is the one that achieved fifth place (the fifth winner) in a ranked competition or event.
-
D.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
-
E.
ratingMeaning
chosen
Indicates the qualitative interpretation or significance associated with a given rating value in the relationship.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.