Triple
T82672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago City Council |
E1660
|
entity |
| Predicate | oversightFunction |
P2845
|
FINISHED |
| Object | oversees city departments |
—
|
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: oversees city departments | Statement: [Chicago City Council, oversightFunction, oversees city departments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oversightFunction Context triple: [Chicago City Council, oversightFunction, oversees city departments]
-
A.
overlooks
Indicates that one entity has a view toward or looks out over another entity, typically from a higher or adjacent position.
-
B.
oversawEvent
Indicates that an entity had supervisory or managerial responsibility for the planning, execution, or overall conduct of an event.
-
C.
hasCheckAndBalanceFunction
chosen
Indicates that one entity performs a checking or limiting role on another entity’s powers, providing oversight and balance within a system.
-
D.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
E.
responsibleFor
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a25053ca208190a371b0d38000c2b9 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb2998c819082681da74601d446 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.