Triple
T5383411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Anne (Seattle neighborhood) |
E113144
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Belltown |
E212560
|
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: Belltown | Statement: [Queen Anne (Seattle neighborhood), borderedBy, Belltown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belltown Context triple: [Queen Anne (Seattle neighborhood), borderedBy, Belltown]
-
A.
Belltown
chosen
Belltown is a densely populated, trendy Seattle neighborhood known for its waterfront views, nightlife, restaurants, and art scene.
-
B.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
C.
Bellevue
Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
-
D.
Rosemont
Rosemont is a suburban community along Philadelphia's Main Line known for its residential neighborhoods and proximity to local colleges and commuter rail service.
-
E.
Lakeview
Lakeview is a Long Island Rail Road commuter rail station serving the Lakeview neighborhood in Nassau County, New York.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf335661c8819091058a5275b95284 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:03 p.m.