Triple
T16261771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC heavyweight division |
E394770
|
entity |
| Predicate | finishRateComparedToLighterDivisions |
P122413
|
FINISHED |
| Object | higher knockout rate |
—
|
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: higher knockout rate | Statement: [UFC heavyweight division, finishRateComparedToLighterDivisions, higher knockout rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finishRateComparedToLighterDivisions Context triple: [UFC heavyweight division, finishRateComparedToLighterDivisions, higher knockout rate]
-
A.
fasterThan
Indicates that one entity moves, operates, or progresses at a higher speed than another entity.
-
B.
differsByDivision
Indicates that two entities are distinct from each other specifically due to differences in how they are divided, partitioned, or segmented.
-
C.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
D.
weightDivisionAbove
Indicates that one entity competes in or belongs to a higher weight division or class than another entity.
-
E.
completionRate
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c4a0b08190af3574f087205afc |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.