Triple
T21631631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wheelchair Curling Championship |
E533843
|
entity |
| Predicate | sweeping |
P16631
|
FINISHED |
| Object | not allowed |
—
|
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: not allowed | Statement: [World Wheelchair Curling Championship, sweeping, not allowed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweeping Context triple: [World Wheelchair Curling Championship, sweeping, not allowed]
-
A.
sweep
chosen
Indicates that an agent uses a tool or motion to clear or move unwanted material from a surface or area.
-
B.
wasSweep
Indicates that one entity performed a sweeping action on or across another entity or area.
-
C.
isSweep
Indicates that one entity performs a sweeping action on or across another entity or area.
-
D.
cleaningAction
Indicates an action in which an agent removes dirt, impurities, or unwanted substances from a target object, area, or entity.
-
E.
scans
Indicates performing a systematic examination or inspection of something, often using a device or method to detect, read, or analyze its contents or structure.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5217952c8190910c2103fb4a27d9 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.