Triple
T21631640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wheelchair Curling Championship |
E533843
|
entity |
| Predicate | houseDiameter |
P145317
|
FINISHED |
| Object | 3.66 metres |
—
|
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: 3.66 metres | Statement: [World Wheelchair Curling Championship, houseDiameter, 3.66 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseDiameter Context triple: [World Wheelchair Curling Championship, houseDiameter, 3.66 metres]
-
A.
diameterOfDome
Indicates the measurement of the dome’s diameter as a geometric property of that dome.
-
B.
bodyDiameter
Indicates the measurement of how wide an object's body is across its broadest cross-section.
-
C.
house1
Indicates that something is identified or classified as a house or dwelling.
-
D.
homeDome
Indicates that one entity serves as the home arena or stadium (often a domed venue) for another entity, such as a sports team.
-
E.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.