Triple
T8730472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Jersey |
E207241
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Fort Lee |
E36610
|
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: Fort Lee | Statement: [North Jersey, hasMajorCity, Fort Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Lee Context triple: [North Jersey, hasMajorCity, Fort Lee]
-
A.
Fort Lee
Fort Lee is a major U.S. Army installation in Virginia that has historically served as a key center for logistics, sustainment, and support training.
-
B.
Fort Lee, New Jersey
chosen
Fort Lee, New Jersey is a borough in Bergen County located at the western terminus of the George Washington Bridge, known as a historic gateway between New Jersey and New York City.
-
C.
Parlin
Parlin is a residential community and unincorporated neighborhood within the borough of Sayreville in Middlesex County, New Jersey.
-
D.
Hackensack
Hackensack were a Lenape Native American group from the region of present-day northern New Jersey, known for their involvement in early 17th-century conflicts with Dutch colonists.
-
E.
Hoboken
Hoboken is a small New Jersey city across the Hudson River from Manhattan, known for its waterfront views, historic brownstones, and vibrant dining and nightlife scene.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e2df0a988190a23a87dff30af98f |
completed | April 4, 2026, 10:07 a.m. |
Created at: March 30, 2026, 6:37 p.m.