Triple
T32061303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago |
E818754
|
entity |
| Predicate | hasMLSClub |
P28155
|
FINISHED |
| Object | Chicago Fire FC |
—
|
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: Chicago Fire FC | Statement: [Chicago, hasMLSClub, Chicago Fire FC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMLSClub Context triple: [Chicago, hasMLSClub, Chicago Fire FC]
-
A.
originalMLSClub
Indicates the Major League Soccer club with which an entity (typically a player) was first officially associated or began their MLS career.
-
B.
hasClub
chosen
Indicates that an entity is associated with or belongs to a particular club.
-
C.
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.
-
D.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
E.
clubFrom
Indicates that one entity is the club or organization from which another entity originates, is affiliated, or is derived.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f638908190957f64096c07535f |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:22 a.m.