Triple
T2523872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Knights |
E55588
|
entity |
| Predicate | classTitle |
P27996
|
FINISHED |
| Object | Triple-A championship |
—
|
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: Triple-A championship | Statement: [Charlotte Knights, classTitle, Triple-A championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classTitle Context triple: [Charlotte Knights, classTitle, Triple-A championship]
-
A.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
-
B.
titleHolderClass
chosen
Indicates the class or category of entity that holds or bears a particular title.
-
C.
recognizesTitle
Indicates that one entity acknowledges or accepts another entity’s formal title or designation as valid or appropriate.
-
D.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
E.
titleRepresents
Indicates that a given title stands for, denotes, or symbolizes a particular concept, role, work, or entity.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23a0a548190b44393e0f823f7a9 |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.