Triple
T24945147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bible of Boxing |
E624165
|
entity |
| Predicate | refersToPublicationType |
P218
|
FINISHED |
| Object | boxing magazine |
—
|
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: boxing magazine | Statement: [The Bible of Boxing, refersToPublicationType, boxing magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPublicationType Context triple: [The Bible of Boxing, refersToPublicationType, boxing magazine]
-
A.
publicationTypeOf
Indicates that one entity specifies the type or category of publication to which another publication entity belongs.
-
B.
publicationType
chosen
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
C.
isAcademicPublicationOf
Indicates that one entity is an academic publication (e.g., paper, article, or report) that has been produced by or is associated with another entity.
-
D.
citationType
Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
-
E.
hasRelatedPublication
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:53 a.m.