Triple
T14680232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piscataway Park |
E344759
|
entity |
| Predicate | oppositeOf |
P3232
|
FINISHED |
| Object | Mount Vernon |
E1078762
|
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: Mount Vernon | Statement: [Piscataway Park, oppositeOf, Mount Vernon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Vernon Context triple: [Piscataway Park, oppositeOf, Mount Vernon]
-
A.
Mount Vernon
Mount Vernon is a city in Westchester County, New York, bordering the Bronx and known as a residential suburb of New York City.
-
B.
Mount Vernon
Mount Vernon is a small city in northwestern Washington State that serves as the administrative and commercial hub of Skagit County.
-
C.
Mount Vernon
Mount Vernon is a historic and culturally rich neighborhood in Baltimore, Maryland, known for its 19th-century architecture, arts institutions, and prominent monuments.
-
D.
Mount Vernon
Mount Vernon is a small city in eastern Iowa known for being home to Cornell College and its historic, tree-lined downtown.
-
E.
Mount Vernon
chosen
Mount Vernon is the historic Virginia plantation estate of George Washington, overlooking the Potomac River and preserved today as a major museum and heritage site.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07e355881908a2e75ccff4f0590 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.