Triple
T24984786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBF featherweight title |
E625273
|
entity |
| Predicate | weightClassUpperLimit |
P157891
|
FINISHED |
| Object | 57.15 kilograms |
—
|
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: 57.15 kilograms | Statement: [IBF featherweight title, weightClassUpperLimit, 57.15 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightClassUpperLimit Context triple: [IBF featherweight title, weightClassUpperLimit, 57.15 kilograms]
-
A.
weightClassUpperLimit
chosen
Indicates the maximum allowable weight value that defines the upper boundary of a given weight class in a classification or categorization system.
-
B.
weightClass
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
C.
weightDivisionAbove
Indicates that one entity competes in or belongs to a higher weight division or class than another entity.
-
D.
weightClassBelow
Indicates that one entity belongs to a lower (lighter) weight class than another entity.
-
E.
weightClassAlternativeName
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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:03 a.m.