Triple
T22556804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterways of New Jersey |
E557707
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hudson River |
—
|
NE NERFINISHED |
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: Hudson River | Statement: [Waterways of New Jersey, hasPart, Hudson River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hudson River Context triple: [Waterways of New Jersey, hasPart, Hudson River]
-
A.
Hudson River
chosen
The Hudson River is a major waterway in eastern New York State that flows south past cities like Albany and New York City before emptying into the Atlantic Ocean at New York Harbor.
-
B.
Hudson
Hudson is a small town in Colorado, United States, located on the plains northeast of Denver.
-
C.
Hudson
Hudson is a small historic city in Columbia County, New York, known for its revitalized downtown, arts scene, and 19th-century architecture along the Hudson River.
-
D.
Hudson
Hudson is a city in Summit County, Ohio, known for its historic downtown, affluent residential character, and strong public school system.
-
E.
Hudson
Hudson is a masculine given name of English origin, traditionally meaning "son of Hugh" and commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7a4a3c81908fc87f48b6dcbbf7 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.