Triple
T11368656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Hill station |
E269281
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Cherry Hill, New Jersey |
E47234
|
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: Cherry Hill, New Jersey | Statement: [Cherry Hill station, serves, Cherry Hill, New Jersey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherry Hill, New Jersey Context triple: [Cherry Hill station, serves, Cherry Hill, New Jersey]
-
A.
Cherry Hill
chosen
Cherry Hill is a suburban township in southern New Jersey known as a major residential and commercial hub just outside Philadelphia.
-
B.
Cherry Hill
Cherry Hill was the original name of the New Bridge Landing rail station in New Jersey, historically serving the surrounding community before being renamed.
-
C.
Hillside, New Jersey
Hillside, New Jersey is a suburban township in Union County, part of the New York metropolitan area.
-
D.
Closter, New Jersey
Closter, New Jersey is a suburban borough in Bergen County known for its residential character, local parks, and proximity to the New York–New Jersey state line.
-
E.
Berkeley Heights, New Jersey
Berkeley Heights, New Jersey is a suburban township in Union County known for its residential neighborhoods, strong public schools, and proximity to New York City.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea89e1148190b0ca29db9d7e2cbd |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a6df121c8190a8522ce0e366013c |
completed | April 22, 2026, 10:45 a.m. |
Created at: April 8, 2026, 9:33 p.m.