Triple
T6871639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Route 9G |
E158560
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Rhinebeck |
E42267
|
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: Rhinebeck | Statement: [New York State Route 9G, connects, Rhinebeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhinebeck Context triple: [New York State Route 9G, connects, Rhinebeck]
-
A.
Rhinebeck
chosen
Rhinebeck is a historic village and town in New York’s Hudson Valley known for its charming downtown, cultural events, and scenic setting along the Hudson River.
-
B.
Rhinecliff
Rhinecliff is a small hamlet on the east bank of the Hudson River in New York, known for its historic riverfront setting and Amtrak train station.
-
C.
Wassaic
Wassaic is a small hamlet in Dutchess County, New York, known for its rural setting, historic architecture, and the Wassaic Project arts organization.
-
D.
Middleburgh, New York
Middleburgh, New York is a small historic village in Schoharie County known for its rural character, scenic valley setting, and role as a local hub in New York’s Leatherstocking region.
-
E.
Beekman, New York
Beekman, New York is a rural town in Dutchess County known for its scenic Hudson Valley landscapes, residential communities, and small-town character.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ac04e08190aa8011c0ade9d509 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748c0689081908d37d1530ed0f6a0 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:22 p.m.