Triple
T4128376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newburgh Waterfront |
E92779
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Downtown Newburgh |
E14893
|
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: Downtown Newburgh | Statement: [Newburgh Waterfront, adjacentTo, Downtown Newburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Newburgh Context triple: [Newburgh Waterfront, adjacentTo, Downtown Newburgh]
-
A.
Newburgh, New York
chosen
Newburgh, New York is a historic city in the Hudson Valley known for its waterfront along the Hudson River and its significant role in early American history.
-
B.
Newburgh
Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
-
C.
Newburgh
Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
-
D.
South Bethlehem, New York
South Bethlehem, New York is a small hamlet within the town of Bethlehem in Albany County, known as a residential community in New York’s Capital District.
-
E.
Eastview, New York
Eastview, New York is a small hamlet in Westchester County known for its proximity to major regional trails, highways, and corporate campuses.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af021c5ca48190a829bab07dda55d0 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576bc48f0819081ac3f921736854f |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:42 p.m.