Triple
T25475914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBA featherweight world champion |
E638432
|
entity |
| Predicate | rankingOrganization |
P165310
|
FINISHED |
| Object | World Boxing Association |
—
|
NE NERFINISHED |
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: World Boxing Association | Statement: [WBA featherweight world champion, rankingOrganization, World Boxing Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingOrganization Context triple: [WBA featherweight world champion, rankingOrganization, World Boxing Association]
-
A.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
B.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
C.
organRank
Indicates a hierarchical or priority ordering among organs relative to one another.
-
D.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
E.
ratingOrganizationType
Indicates the type or category of organization responsible for assigning a rating.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f658a91ba0819084fbe3dd8a09f7cd |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f657f2c8b08190bfeb3173ef78207d |
completed | May 2, 2026, 8 p.m. |
Created at: April 21, 2026, 2:26 p.m.