Triple
T35905677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Welterweight Championship |
E1038465
|
entity |
| Predicate | hasWeightRangeLb |
P26162
|
FINISHED |
| Object | 156–170 |
—
|
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: 156–170 | Statement: [UFC Welterweight Championship, hasWeightRangeLb, 156–170]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeightRangeLb Context triple: [UFC Welterweight Championship, hasWeightRangeLb, 156–170]
-
A.
weightRangeDescription
chosen
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
B.
weightLimitLowerBoundKg
Indicates the minimum allowable weight, in kilograms, that satisfies a specified limit or constraint.
-
C.
weightCondition
Indicates that a specified weight-related requirement or constraint holds between entities or values.
-
D.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
E.
weightLimitLowerBoundLb
Indicates the minimum allowable weight, expressed in pounds, that satisfies a specified limit or constraint.
- 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.