Triple
T25832422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derbi Capitalino |
E650699
|
entity |
| Predicate | hasHomeCityClub |
P5864
|
FINISHED |
| Object | Club América |
—
|
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: Club América | Statement: [Derbi Capitalino, hasHomeCityClub, Club América]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeCityClub Context triple: [Derbi Capitalino, hasHomeCityClub, Club América]
-
A.
hasHomeClub
Indicates that an entity (typically a person, such as an athlete) is associated with a particular club as their primary or official home organization.
-
B.
homeCityOfClubSupported
Indicates that a particular city is the home city of the sports club that an entity supports.
-
C.
hasHomeCity
chosen
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
-
D.
hasHomeCityTeamStadium
Indicates that a sports team’s home city is associated with a specific stadium where the team primarily hosts its home games.
-
E.
parentClubCity
Indicates that a sports club is based in or belongs to a particular city as its home location.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 7:39 a.m.