Triple
T33929145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBF bantamweight title |
E869836
|
entity |
| Predicate | isOneOfMajorWorldTitlesAtWeight |
P104361
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [IBF bantamweight title, isOneOfMajorWorldTitlesAtWeight, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfMajorWorldTitlesAtWeight Context triple: [IBF bantamweight title, isOneOfMajorWorldTitlesAtWeight, true]
-
A.
numberOfWeightDivisionsWithWorldTitles
Indicates the count of distinct weight divisions in which an entity has held world championship titles.
-
B.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
C.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
D.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
E.
weightClassAlternativeName
chosen
Indicates that one weight class is referred to by an alternative name or label.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 1:49 a.m.