Triple
T551649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near North Side |
E11852
|
entity |
| Predicate | communityAreaNumber |
P15629
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Near North Side, communityAreaNumber, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityAreaNumber Context triple: [Near North Side, communityAreaNumber, 8]
-
A.
communityDistrictNumber
Indicates the specific community district identifier associated with an entity or location.
-
B.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
C.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
D.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
E.
connectsArea
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499047bd4819089ca8345f1b6e46c |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.