Triple
T2641575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Italy, Chicago |
E62877
|
entity |
| Predicate | cityNeighborhoodNumbering |
P4813
|
FINISHED |
| Object | part of Chicago community area Near West Side |
—
|
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: part of Chicago community area Near West Side | Statement: [Little Italy, Chicago, cityNeighborhoodNumbering, part of Chicago community area Near West Side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityNeighborhoodNumbering Context triple: [Little Italy, Chicago, cityNeighborhoodNumbering, part of Chicago community area Near West Side]
-
A.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
-
B.
communityDistrictNumber
Indicates the specific community district identifier associated with an entity or location.
-
C.
communityAreaNumber
Indicates the specific numbered community area to which an entity is assigned or associated.
-
D.
hasNeighbourhood
chosen
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
E.
regionNumber
Indicates that an entity is assigned to or associated with a specific numbered region within a larger spatial or organizational division.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fdc0bc8190b7fd102b87ee50d1 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.