Triple
T10016214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheffield Avenue |
E199501
|
entity |
| Predicate | passesThroughNeighborhood |
P27125
|
FINISHED |
| Object | Lakeview |
E29184
|
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: Lakeview | Statement: [Sheffield Avenue, passesThroughNeighborhood, Lakeview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakeview Context triple: [Sheffield Avenue, passesThroughNeighborhood, Lakeview]
-
A.
Lakeview
chosen
Lakeview is a vibrant North Side Chicago neighborhood known for its lively entertainment scene, lakefront access, and diverse residential areas including Boystown and Wrigleyville.
-
B.
Lakeview
Lakeview is a Long Island Rail Road commuter rail station serving the Lakeview neighborhood in Nassau County, New York.
-
C.
Lakeview Heights
Lakeview Heights is a small residential community located within the Township of South Stormont in eastern Ontario, Canada.
-
D.
Lakeview Terrace
Lakeview Terrace is a 2008 American thriller film about a hostile LAPD officer who terrorizes his new neighbors, directed by Neil LaBute and starring Samuel L. Jackson.
-
E.
Bayview
Bayview is a small unincorporated community located in Contra Costa County, California.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a99971081908397f06c0ce913d0 |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.