Triple
T16656843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trampolino Olimpico Italia |
E404752
|
entity |
| Predicate | OlympicHostCityVenue |
P95196
|
FINISHED |
| Object | Cortina d'Ampezzo 1956 |
—
|
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: Cortina d'Ampezzo 1956 | Statement: [Trampolino Olimpico Italia, OlympicHostCityVenue, Cortina d'Ampezzo 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicHostCityVenue Context triple: [Trampolino Olimpico Italia, OlympicHostCityVenue, Cortina d'Ampezzo 1956]
-
A.
OlympicVenue
chosen
Indicates that a location serves or has served as a site where official Olympic Games events are held.
-
B.
usedAsOlympicStadiumFor
Indicates that a venue served as the official stadium for hosting events of a particular edition of the Olympic Games.
-
C.
olympicEventsLocation
Indicates the location where specific Olympic events are held or take place.
-
D.
OlympicHostCity
Indicates that a city has been officially selected to host and organize a particular edition of the Olympic Games.
-
E.
olympicSportHosted
Indicates that a particular Olympic sport was held or staged at a specific Olympic Games or host location.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfb2b308190bf3559df9fbb126f |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.