Triple
T30512532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Skating Club of Boston |
E776467
|
entity |
| Predicate | hasNumberOfRinks |
P118304
|
FINISHED |
| Object | 3 |
—
|
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 | Statement: [The Skating Club of Boston, hasNumberOfRinks, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfRinks Context triple: [The Skating Club of Boston, hasNumberOfRinks, 3]
-
A.
hasRinkCount
chosen
Indicates the number of ice rinks associated with or contained within a given entity.
-
B.
hasIceRinks
Indicates that an entity possesses, contains, or provides access to one or more ice rinks.
-
C.
hasIceRinkDimensions
Indicates that an entity possesses or is characterized by specific ice rink measurements or size specifications.
-
D.
usesStandardIceRink
Indicates that the activity, event, or entity operates on or is conducted within a regulation-size, standard ice rink.
-
E.
iceRinkType
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 29, 2026, 8:16 p.m.