Triple
T30512545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Skating Club of Boston |
E776467
|
entity |
| Predicate | IceChipsInstanceOf |
P169804
|
FINISHED |
| Object | annual figure skating show |
—
|
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: annual figure skating show | Statement: [The Skating Club of Boston, IceChipsInstanceOf, annual figure skating show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IceChipsInstanceOf Context triple: [The Skating Club of Boston, IceChipsInstanceOf, annual figure skating show]
-
A.
instanceOf
relation of type constraints
-
B.
sonInstanceOf
Indicates that an entity is a specific instance or example of the general concept or class represented by "son."
-
C.
hasIceClass
Indicates that an object (typically a vessel or structure) is assigned a specific ice classification denoting its capability to operate in icy or ice-infested waters.
-
D.
iceClass
Indicates a classification relationship specifying the level or category of ice-strengthening or ice-navigation capability assigned to a vessel or structure.
-
E.
MiraBInstanceOf
Indicates that an entity is an instance (specific occurrence) of a given class, type, or category within the MiraB schema or ontology.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687bafbb081908ee38092717af4a3 |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:16 p.m.