Triple
T16302223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton |
E395819
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Fells Point |
E91815
|
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: Fells Point | Statement: [Canton, adjacentTo, Fells Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fells Point Context triple: [Canton, adjacentTo, Fells Point]
-
A.
Fells Point
chosen
Fells Point is a historic waterfront neighborhood in Baltimore known for its cobblestone streets, 18th- and 19th-century architecture, and vibrant dining and nightlife scene.
-
B.
Church Hill, Maryland
Church Hill, Maryland is a small historic town on Maryland’s Eastern Shore known for its rural character and preserved 18th- and 19th-century architecture.
-
C.
Church Hill
Church Hill is a notable historic and cultural landmark area in the Latvian city of Daugavpils.
-
D.
Downtown Baltimore
Downtown Baltimore is the central business district and primary commercial and cultural hub of Baltimore, Maryland, known for its skyscrapers, Inner Harbor waterfront, and major attractions.
-
E.
Council Hill
Council Hill is a small rural town in eastern Oklahoma known for its agricultural surroundings and tight-knit 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e3404288190a7106d62c15c3193 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da444408190b770055d84060f4d |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.