Triple
T18860471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biles II (floor exercise, triple-twisting double back) |
E461297
|
entity |
| Predicate | namedElementNumberForBilesOnFloor |
P133200
|
FINISHED |
| Object | second |
—
|
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: second | Statement: [Biles II (floor exercise, triple-twisting double back), namedElementNumberForBilesOnFloor, second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedElementNumberForBilesOnFloor Context triple: [Biles II (floor exercise, triple-twisting double back), namedElementNumberForBilesOnFloor, second]
-
A.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
B.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
C.
locatedInBuildingFloorCount
Indicates that one entity is located in or associated with a building characterized by a specific number of floors.
-
D.
hasFloorMarkings
Indicates that an entity features visible markings or lines on its floor surface, typically used for guidance, organization, or safety.
-
E.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.