Triple
T5674004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avondale, Chicago |
E125042
|
entity |
| Predicate | hasChicagoCommunityAreaNumber |
P15629
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Avondale, Chicago, hasChicagoCommunityAreaNumber, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChicagoCommunityAreaNumber Context triple: [Avondale, Chicago, hasChicagoCommunityAreaNumber, 21]
-
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.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
-
D.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service 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.
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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.