Triple
T30735481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviadores |
E782540
|
entity |
| Predicate | clubNamedAfter |
P30598
|
FINISHED |
| Object | Jorge Wilstermann |
—
|
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: Jorge Wilstermann | Statement: [Aviadores, clubNamedAfter, Jorge Wilstermann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNamedAfter Context triple: [Aviadores, clubNamedAfter, Jorge Wilstermann]
-
A.
teamNicknamedAfter
Indicates that a team is commonly referred to by a nickname derived from or inspired by another entity.
-
B.
teamNameInspiredBy
chosen
Indicates that the name of one team was chosen based on, influenced by, or derived from another entity (such as a person, place, concept, or other team).
-
C.
clubFullName
Indicates the complete official name of a club as opposed to an abbreviation or short form.
-
D.
stadiumNamesake
Indicates that one entity serves as the namesake or is the person/thing after which a particular stadium is named.
-
E.
nicknameForClubFromCity
Indicates that a given nickname is used to refer to a sports club that is based in a particular city.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:37 p.m.