Triple
T234191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Hockey League |
E4472
|
entity |
| Predicate | rinkType |
P10195
|
FINISHED |
| Object | North American ice hockey rink |
—
|
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: North American ice hockey rink | Statement: [American Hockey League, rinkType, North American ice hockey rink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rinkType Context triple: [American Hockey League, rinkType, North American ice hockey rink]
-
A.
collapsedDuring
Indicates that one entity structurally failed or fell down while another specified event or process was occurring.
-
B.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
C.
hasDiminutive
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
D.
restriction
Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
-
E.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f14f72081908182e76300b59358 |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b5c8c888190b5544e687736b373 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f1450f08190872bcf58a32d506b |
completed | Feb. 28, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.