Triple
T15340662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBA super bantamweight title |
E366784
|
entity |
| Predicate | weightLimitKilograms |
P26161
|
FINISHED |
| Object | 55 |
—
|
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: 55 | Statement: [WBA super bantamweight title, weightLimitKilograms, 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightLimitKilograms Context triple: [WBA super bantamweight title, weightLimitKilograms, 55]
-
A.
weightLimitInKilograms
chosen
Indicates the maximum allowable weight for something, expressed in kilograms.
-
B.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
maximumTonnageLimitedBy
Indicates that the maximum allowable tonnage of one entity is constrained or capped by the capacity or limit specified by another entity.
-
E.
weightSupport
Indicates that one entity bears or carries the physical weight of another, providing structural or mechanical support.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.