Triple
T1434094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Lightweight Title |
E30517
|
entity |
| Predicate | requiresGloveWeight |
P26162
|
FINISHED |
| Object | 8 to 10 ounce gloves depending on jurisdiction |
—
|
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: 8 to 10 ounce gloves depending on jurisdiction | Statement: [World Lightweight Title, requiresGloveWeight, 8 to 10 ounce gloves depending on jurisdiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresGloveWeight Context triple: [World Lightweight Title, requiresGloveWeight, 8 to 10 ounce gloves depending on jurisdiction]
-
A.
gripType
Indicates the manner or style in which one entity physically holds or grasps another.
-
B.
hasGripType
Indicates that one entity possesses or uses a specific type or style of grip in relation to another entity or action.
-
C.
weightRangeDescription
chosen
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
D.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.