Triple
T18077059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homewood |
E432580
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Edgewood |
—
|
NE NERFINISHED |
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: Edgewood | Statement: [Homewood, hasNeighborhood, Edgewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgewood Context triple: [Homewood, hasNeighborhood, Edgewood]
-
A.
Edgewood
chosen
Edgewood is a residential neighborhood in the city of Homewood, Alabama, known for its walkable streets, historic homes, and small-town commercial district.
-
B.
Edgewood
Edgewood is a residential neighborhood in the city of Cranston, Rhode Island, known for its historic homes and proximity to Narragansett Bay.
-
C.
Edgewood
Edgewood is a small suburban borough in Allegheny County, Pennsylvania, located just east of Pittsburgh.
-
D.
Edgewood
Edgewood is a residential neighborhood in Northeast Washington, D.C., known for its rowhouses, proximity to Catholic University, and access to the Metropolitan Branch Trail.
-
E.
Edgewood
Edgewood is a historic intown neighborhood on Atlanta’s east side, known for its residential streets, local businesses, and proximity to other revitalized areas like Inman Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f5d10481908b09af0b44d3db4f |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:26 a.m.