Triple
T16464005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGinley Square |
E399881
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Bergen-Lafayette |
E102425
|
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: Bergen-Lafayette | Statement: [McGinley Square, adjacentTo, Bergen-Lafayette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergen-Lafayette Context triple: [McGinley Square, adjacentTo, Bergen-Lafayette]
-
A.
Bergen-Lafayette
chosen
Bergen-Lafayette is a historic, residential neighborhood in Jersey City, New Jersey, known for its diverse community, parks, and revitalizing arts and dining scene.
-
B.
Haslet
Haslet is a small suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its residential communities and proximity to major transportation corridors.
-
C.
Gretna
Gretna is a small but rapidly growing city in eastern Nebraska, known for its convenient location near Omaha and attractions like the Nebraska Crossing outlet mall.
-
D.
Gretna
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
-
E.
Lanham
Lanham is an unincorporated community in Prince George's County, Maryland, located in the suburban Washington, D.C. metropolitan area.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d83687081908450657e1da6f6af |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581a11e881908681f68c26ee6a05 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.