Triple
T13764909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parma, Ohio |
E330714
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Brooklyn, Ohio |
E527143
|
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: Brooklyn, Ohio | Statement: [Parma, Ohio, adjacentTo, Brooklyn, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooklyn, Ohio Context triple: [Parma, Ohio, adjacentTo, Brooklyn, Ohio]
-
A.
Brooklyn, Ohio
chosen
Brooklyn, Ohio is a small suburban city located just west of Cleveland in Cuyahoga County.
-
B.
Brookville, Ohio
Brookville, Ohio is a small village in southwestern Ohio known for its close-knit community and location within the Dayton metropolitan area.
-
C.
Brooklyn Heights, Ohio
Brooklyn Heights, Ohio is a small suburban village in Cuyahoga County near Cleveland, known for its residential character and proximity to major highways and industrial areas.
-
D.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
E.
Brunswick, Ohio
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a862e6808190b8fbb27304212058 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.