Triple
T13550880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Bell Arena |
E323639
|
entity |
| Predicate | hostedDisciplineAtEvent |
P35509
|
FINISHED |
| Object | ice hockey at the 1988 Winter Olympics |
—
|
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: ice hockey at the 1988 Winter Olympics | Statement: [Max Bell Arena, hostedDisciplineAtEvent, ice hockey at the 1988 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedDisciplineAtEvent Context triple: [Max Bell Arena, hostedDisciplineAtEvent, ice hockey at the 1988 Winter Olympics]
-
A.
hostedDiscipline
chosen
Indicates that an entity served as the host or venue for a particular discipline, event category, or field of competition.
-
B.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
C.
hostedEventAreaFor
Indicates that a particular area or location served as the venue or physical space where an event was hosted or took place.
-
D.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
-
E.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.