Triple
T9513947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepper Pike |
E229473
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Beachwood |
E818325
|
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: Beachwood | Statement: [Pepper Pike, adjacentTo, Beachwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beachwood Context triple: [Pepper Pike, adjacentTo, Beachwood]
-
A.
Beachwood
chosen
Beachwood is a suburban city in Cuyahoga County, Ohio, known for its upscale shopping, business centers, and proximity to Cleveland.
-
B.
Maple Heights
Maple Heights is a suburban city in northeastern Ohio, located within the Greater Cleveland metropolitan area.
-
C.
Garfield Heights
Garfield Heights is a suburban city located southeast of downtown Cleveland in northeastern Ohio.
-
D.
Cleveland Heights
Cleveland Heights is an inner-ring suburban city of Cleveland in northeastern Ohio, known for its historic neighborhoods, cultural diversity, and vibrant arts and dining scenes.
-
E.
Broadview Heights
Broadview Heights is a suburban city in northeastern Ohio, United States, located within 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986bfcac8190aa97f8975cb17f6c |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25743261881909b207405d5eaa4cd |
completed | April 5, 2026, 12:36 p.m. |
Created at: March 30, 2026, 7:58 p.m.