Triple
T551660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near North Side |
E11852
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Michigan Avenue |
E32738
|
NE 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: Michigan Avenue | Statement: [Near North Side, contains, Michigan Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michigan Avenue Context triple: [Near North Side, contains, Michigan Avenue]
-
A.
South Michigan Avenue
South Michigan Avenue is a major thoroughfare in downtown Chicago known for its cultural landmarks, historic architecture, and proximity to Grant Park.
-
B.
North Michigan Avenue
chosen
North Michigan Avenue is a major commercial thoroughfare in Chicago renowned for its upscale shopping, dining, and landmark architecture.
-
C.
Lincoln Way
Lincoln Way is a major east–west thoroughfare in San Francisco that runs along the southern edge of Golden Gate Park.
-
D.
Washington Street
Washington Street is a major thoroughfare running through San Francisco’s Chinatown, known for its dense concentration of Chinese shops, restaurants, and cultural landmarks.
-
E.
Monroe Street
Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499047bd4819089ca8345f1b6e46c |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3a260888190b89e90c1da061733 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:32 p.m.