Triple
T16413421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rome Laboratory |
E398621
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Rome, New York |
—
|
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: Rome, New York | Statement: [Rome Laboratory, locatedIn, Rome, New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rome, New York Context triple: [Rome Laboratory, locatedIn, Rome, New York]
-
A.
Rome, New York
chosen
Rome, New York is a small city in central New York State known historically as a strategic transportation and military hub, including its role in the Erie Canal and Fort Stanwix.
-
B.
Aurelius, New York
Aurelius, New York is a small town in Cayuga County in the Finger Lakes region of central New York State.
-
C.
Augusta, New York
Augusta, New York is a small rural town in Oneida County in central New York State, United States.
-
D.
Potsdam, New York
Potsdam, New York is a small town in St. Lawrence County known for hosting Clarkson University and SUNY Potsdam in the North Country region of the state.
-
E.
Romulus, New York
Romulus, New York is a small town in Seneca County in the Finger Lakes region, known for its rural character, wineries, and lakeside setting.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32875bad08190bc3e2218df8c1b07 |
completed | April 18, 2026, 6:45 a.m. |
Created at: April 10, 2026, 5:09 a.m.