Triple
T20883429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Sting |
E514208
|
entity |
| Predicate | representedCityInSport |
P31739
|
FINISHED |
| Object | Chicago professional soccer |
—
|
LITERAL FINISHED |
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 professional soccer | Statement: [Chicago Sting, representedCityInSport, Chicago professional soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedCityInSport Context triple: [Chicago Sting, representedCityInSport, Chicago professional soccer]
-
A.
representedCity
chosen
Indicates that an entity serves as the official representative or proxy for a particular city.
-
B.
cityRepresented
Indicates that one entity serves as the official representative or governing body for a particular city.
-
C.
associatedWithCitySports
Indicates a relationship where an entity has a connection or involvement with city-level sports activities, organizations, or events.
-
D.
stadiumCity
Indicates that a stadium is located in or associated with a particular city.
-
E.
sponsorCity
Indicates that an entity provides sponsorship or financial support to 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67b03088190be7cbcde8c59509a |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.