Triple
T4735082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop (Chicago) |
E105103
|
entity |
| Predicate | ChicagoCommunityAreaNumber |
P15629
|
FINISHED |
| Object | 32 |
—
|
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: 32 | Statement: [Loop (Chicago), ChicagoCommunityAreaNumber, 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChicagoCommunityAreaNumber Context triple: [Loop (Chicago), ChicagoCommunityAreaNumber, 32]
-
A.
communityAreaNumber
chosen
Indicates the specific numbered community area to which an entity is assigned or associated.
-
B.
communityDistrictNumber
Indicates the specific community district identifier associated with an entity or location.
-
C.
boroughOrCommunityArea
Indicates that one place is a borough or community area subdivision within the jurisdiction or boundaries of another place.
-
D.
southSideLocatedIn
Indicates that one entity is located on the southern side or in the southern part of another entity.
-
E.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd648148b48190ae30631115339ba1 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.