Triple
T26411927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floyd Mayweather Sr. |
E663982
|
entity |
| Predicate | hasPartInMouth |
P176274
|
FINISHED |
| Object | missing right leg below the knee |
—
|
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: missing right leg below the knee | Statement: [Floyd Mayweather Sr., hasPartInMouth, missing right leg below the knee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInMouth Context triple: [Floyd Mayweather Sr., hasPartInMouth, missing right leg below the knee]
-
A.
hasTypeOfMouth
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
B.
containsMouthOf
Indicates that one entity geographically includes or encompasses the mouth (outflow point) of another entity, such as a river or stream.
-
C.
mouthNear
Indicates that one entity’s mouth is positioned close to another entity or object in space.
-
D.
fromMouth
Indicates that something originates from or is emitted out of a mouth.
-
E.
isNavigableNearMouth
Indicates that a waterway is suitable for navigation in the area close to its mouth or outlet.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 26, 2026, 11:38 p.m.