Triple
T27092601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campeones Cup: Columbus Crew |
E686208
|
entity |
| Predicate | cityMLSClub |
P53957
|
FINISHED |
| Object | Columbus, Ohio |
—
|
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: Columbus, Ohio | Statement: [Campeones Cup: Columbus Crew, cityMLSClub, Columbus, Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityMLSClub Context triple: [Campeones Cup: Columbus Crew, cityMLSClub, Columbus, Ohio]
-
A.
isLocatedInCityWithClub
Indicates that an entity is situated in a city that has at least one (sports or similar) club based there.
-
B.
clubBasedHere
Indicates that a club or organization is based or headquartered at the specified location.
-
C.
urbanComponent
Indicates that something functions as a constituent part or element within an urban area or city system.
-
D.
isSuburbanClubOf
Indicates that one club is a suburban branch or affiliate of another, typically located in a suburban area relative to the main or central club.
-
E.
clubCity
chosen
Indicates that a club is based in or associated with 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6234a6170819094a1f6d3a7864900 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:41 a.m.