Triple
T28549636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Skate America |
E722844
|
entity |
| Predicate | skatingSeason |
P164627
|
FINISHED |
| Object | 1997–98 |
—
|
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: 1997–98 | Statement: [1997 Skate America, skatingSeason, 1997–98]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skatingSeason Context triple: [1997 Skate America, skatingSeason, 1997–98]
-
A.
skatingDiscipline
Indicates the specific type or category of skating discipline associated with an entity (e.g., figure, speed, ice dance).
-
B.
skatingElementType
Indicates the specific type or category of a skating element performed or referenced in a skating activity or program.
-
C.
skating style
Indicates the particular technique or manner in which an entity performs skating.
-
D.
recreationSeason
Indicates the time of year or specific season during which a recreational activity, facility, or area is typically used or available.
-
E.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500f8ae48190b4f5bd98b505c037 |
completed | May 2, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:42 a.m.