Triple
T10713342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New City, Chicago |
E252597
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object |
Canaryville
Canaryville is a historically Irish-American, working-class neighborhood on Chicago’s South Side known for its close-knit community and proximity to the Union Stock Yards.
|
E881057
|
NE FINISHED |
How this triple was built (4 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: Canaryville | Statement: [New City, Chicago, containsNeighborhood, Canaryville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canaryville Context triple: [New City, Chicago, containsNeighborhood, Canaryville]
-
A.
Maxville
Maxville is a small unincorporated community located in the state of Missouri in the United States.
-
B.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
-
C.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
D.
Whitneyville
Whitneyville is a residential neighborhood in the town of Hamden, Connecticut, known for its historic character and proximity to New Haven.
-
E.
Bergville
Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Canaryville Triple: [New City, Chicago, containsNeighborhood, Canaryville]
Generated description
Canaryville is a historically Irish-American, working-class neighborhood on Chicago’s South Side known for its close-knit community and proximity to the Union Stock Yards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canaryville Target entity description: Canaryville is a historically Irish-American, working-class neighborhood on Chicago’s South Side known for its close-knit community and proximity to the Union Stock Yards.
-
A.
Maxville
Maxville is a small unincorporated community located in the state of Missouri in the United States.
-
B.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
-
C.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
D.
Whitneyville
Whitneyville is a residential neighborhood in the town of Hamden, Connecticut, known for its historic character and proximity to New Haven.
-
E.
Bergville
Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
- F. None of above. chosen
Provenance (5 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe54465081909640f6d7a2314fcb |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.