Triple
T26489395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trofeo Alfredo Di Stéfano |
E669113
|
entity |
| Predicate | votingBodyType |
P80590
|
FINISHED |
| Object | journalists and experts |
—
|
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: journalists and experts | Statement: [Trofeo Alfredo Di Stéfano, votingBodyType, journalists and experts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingBodyType Context triple: [Trofeo Alfredo Di Stéfano, votingBodyType, journalists and experts]
-
A.
usesVotingBody
chosen
Indicates that one entity employs or relies on a particular voting body to make decisions or take actions on its behalf.
-
B.
typeOfVoting
Indicates the specific method or system by which a vote is cast or recorded in a decision-making process.
-
C.
typeOfElectionBody
Indicates the specific category or kind of electoral body to which an entity belongs (e.g., commission, council, board).
-
D.
eligibleBody
Indicates that an entity qualifies as an appropriate or permitted body (e.g., organization or institution) to participate in or be subject to a specified relationship or action.
-
E.
hostBodyType
Indicates the type or classification of the body that serves as a host for another entity or process.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61302356c8190b8dc90949fdff41b |
completed | May 2, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:02 a.m.