Triple
T2985331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XIV Olympiad |
E80610
|
entity |
| Predicate | italyParticipationStatus |
P28323
|
FINISHED |
| Object | participated |
—
|
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: participated | Statement: [XIV Olympiad, italyParticipationStatus, participated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: italyParticipationStatus Context triple: [XIV Olympiad, italyParticipationStatus, participated]
-
A.
countryParticipation
chosen
Indicates that a country takes part in, is involved with, or contributes to a particular event, activity, agreement, or organization.
-
B.
designationInItaly
Indicates that an entity holds a specific official status, title, or classification within the Italian context (e.g., legal, administrative, or honorific designation in Italy).
-
C.
certificationItaly
Indicates that an entity holds or is associated with a certification that is specifically issued, recognized, or valid in Italy.
-
D.
europeanUnionStatus
Indicates whether an entity is a member of, associated with, or otherwise holds a defined status in relation to the European Union.
-
E.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c65ad0819087bb4ae92ab0dc55 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.