Triple
T24944500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | minimumweight |
E624149
|
entity |
| Predicate | isLightestClassIn |
P64837
|
FINISHED |
| Object | professional boxing |
—
|
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: professional boxing | Statement: [minimumweight, isLightestClassIn, professional boxing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLightestClassIn Context triple: [minimumweight, isLightestClassIn, professional boxing]
-
A.
isLightweight
Indicates that an entity has a relatively low weight or mass compared to typical or alternative entities.
-
B.
isTheHighestClassOf
Indicates that one entity represents the topmost or most advanced level within a hierarchy or classification to which the other entity belongs.
-
C.
isLightestBoundStateOf
Indicates that one entity is the lowest-mass (lightest) bound state within the set of bound states associated with another entity.
-
D.
isSmallestOf
chosen
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
E.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
- 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_69f423dd366081908c3cf86c20c7ec5f |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:53 a.m.