Triple
T6224879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cell |
E139204
|
entity |
| Predicate | associatedWithCityTeam |
P42264
|
FINISHED |
| Object | South Side Chicago team |
—
|
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: South Side Chicago team | Statement: [The Cell, associatedWithCityTeam, South Side Chicago team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCityTeam Context triple: [The Cell, associatedWithCityTeam, South Side Chicago team]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
associatedWithChampionshipTeams
Indicates a relationship where an entity has a connection or involvement with one or more championship-winning teams.
-
C.
playedForCity
Indicates that an entity (typically a person or team) has been a member of or represented a sports team or organization based in a particular city.
-
D.
associatedTeamName
chosen
Indicates the name of the team that is linked or connected to a given entity.
-
E.
homeCityTeamOf
Indicates that one entity is the sports team based in and representing the home city of the other entity.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c214c48190b94e7f904e2bf699 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.