Triple
T1452832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Welterweight Title |
E31331
|
entity |
| Predicate | weightClassRange |
P26162
|
FINISHED |
| Object | above light welterweight and below light middleweight |
—
|
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: above light welterweight and below light middleweight | Statement: [World Welterweight Title, weightClassRange, above light welterweight and below light middleweight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightClassRange Context triple: [World Welterweight Title, weightClassRange, above light welterweight and below light middleweight]
-
A.
weightClass
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
B.
weightRangeDescription
chosen
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
C.
rankRange
Indicates that an entity’s rank falls within a specified minimum and maximum range.
-
D.
typicalRange
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
E.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57d34cc8190801b769d9d9b2e2e |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.