Triple
T24580500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean Cup |
E608233
|
entity |
| Predicate | includesNationalTeamsFrom |
P125393
|
FINISHED |
| Object | Mediterranean countries |
—
|
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: Mediterranean countries | Statement: [Mediterranean Cup, includesNationalTeamsFrom, Mediterranean countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNationalTeamsFrom Context triple: [Mediterranean Cup, includesNationalTeamsFrom, Mediterranean countries]
-
A.
includesNationalTeam
Indicates that an entity’s composition or membership list contains a specified national team.
-
B.
involvedNationalTeamsFrom
chosen
Indicates that an event, activity, or context included participation or representation from the specified national teams.
-
C.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
D.
previousNationalTeamEntity
Indicates that an entity previously represented a particular national team before its current or later affiliation.
-
E.
featuredNationalTeams
Indicates that certain national teams are prominently highlighted or given special emphasis in a particular context or collection.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97fde9c81909d8de91b6358a015 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.