Triple
T35905656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Welterweight Championship |
E1038465
|
entity |
| Predicate | weightLimitLb |
P26160
|
FINISHED |
| Object | 170 |
—
|
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: 170 | Statement: [UFC Welterweight Championship, weightLimitLb, 170]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightLimitLb Context triple: [UFC Welterweight Championship, weightLimitLb, 170]
-
A.
weightLimitInPounds
chosen
Indicates the maximum allowable weight for something, expressed in pounds.
-
B.
weightLimitInKilograms
Indicates the maximum allowable weight for something, expressed in kilograms.
-
C.
weightLimitLowerBoundLb
Indicates the minimum allowable weight, expressed in pounds, that satisfies a specified limit or constraint.
-
D.
weightLimitLowerBoundKg
Indicates the minimum allowable weight, in kilograms, that satisfies a specified limit or constraint.
-
E.
hasVehicleWeightLimit
Indicates that there is a maximum allowable weight for vehicles associated with, or permitted to use, a given object or location.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa6f167481908a174f615299e151 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.