Triple
T12304693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Park neighborhood |
E293322
|
entity |
| Predicate | withinCommunityAreaSystem |
P104351
|
FINISHED |
| Object | 77 community areas of Chicago |
—
|
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: 77 community areas of Chicago | Statement: [Washington Park neighborhood, withinCommunityAreaSystem, 77 community areas of Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withinCommunityAreaSystem Context triple: [Washington Park neighborhood, withinCommunityAreaSystem, 77 community areas of Chicago]
-
A.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
-
B.
communityAreaNumber
Indicates the specific numbered community area to which an entity is assigned or associated.
-
C.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
D.
isCommunityOf
Indicates that one entity functions as a community composed of, or defined by, the members or elements represented by the other entity.
-
E.
boroughOrCommunityArea
Indicates that one place is a borough or community area subdivision within the jurisdiction or boundaries of another place.
- F. None of above. chosen
Provenance (4 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.