Triple
T16315545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent Square |
E396162
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Edgewood |
E602448
|
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: Edgewood | Statement: [Regent Square, near, Edgewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgewood Context triple: [Regent Square, near, Edgewood]
-
A.
Edgewood
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
chosen
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.
Edgemont
Edgemont is a Canadian teen drama television series that explores the social and personal lives of high school students in a suburban community.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026044a5881908773e286fb1a6e3e |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.