Triple
T37923203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitropa Cup |
E946019
|
entity |
| Predicate | laterParticipantCountry |
P203323
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [Mitropa Cup, laterParticipantCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterParticipantCountry Context triple: [Mitropa Cup, laterParticipantCountry, Italy]
-
A.
countryOfParticipant
Indicates the country with which a given participant is associated or from which they originate in the context of an event or activity.
-
B.
formerParticipatingCountry
Indicates that a country previously took part in a specific organization, event, or arrangement but is no longer a participating member.
-
C.
attendeeCountry
Indicates the country associated with an attendee, typically where the attendee comes from or is based.
-
D.
invitedCountry
Indicates that one entity has extended an invitation to another entity identified as a country.
-
E.
laterPrimaryCountry
Indicates that one country becomes the primary or dominant country in a given context at a later time than another.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0154b16a3c8190b808a460ae3a91ac |
completed | May 11, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_6a01539f19d88190b2de63f5262b1074 |
completed | May 11, 2026, 3:57 a.m. |
| PDg | Predicate description generation | batch_6a0154b0a9e48190ae747136b4587ceb |
completed | May 11, 2026, 4:01 a.m. |
Created at: May 3, 2026, 4:20 p.m.