Triple
T25666172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Blue Soccer |
E643521
|
entity |
| Predicate | clubOwnedRegionBranding |
P80120
|
FINISHED |
| Object | NJ/NY metropolitan area |
—
|
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: NJ/NY metropolitan area | Statement: [Sky Blue Soccer, clubOwnedRegionBranding, NJ/NY metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubOwnedRegionBranding Context triple: [Sky Blue Soccer, clubOwnedRegionBranding, NJ/NY metropolitan area]
-
A.
brandingRegion
chosen
Indicates the geographic or market area in which a particular brand identity, presentation, or strategy is applied or recognized.
-
B.
playersClubBrand
Indicates that a player is associated with or represents a particular club’s brand.
-
C.
primaryTeamBrand
Indicates the brand or franchise that serves as an entity’s main or primary team affiliation.
-
D.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
E.
teamColorRegion
Indicates the association between a team and the specific color region or area that visually represents it.
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb2e5e548190a0b3a84b02c07940 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 7:04 p.m.