Triple
T10301024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford Heights |
E241626
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Warrensville Heights |
E813454
|
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: Warrensville Heights | Statement: [Bedford Heights, adjacentTo, Warrensville Heights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warrensville Heights Context triple: [Bedford Heights, adjacentTo, Warrensville Heights]
-
A.
Warrensville Heights
chosen
Warrensville Heights is a suburban city in Cuyahoga County, Ohio, known as part of the greater Cleveland metropolitan area.
-
B.
Bedford Heights
Bedford Heights is a suburban city in northeastern Ohio, located southeast of Cleveland within the Greater Cleveland metropolitan area.
-
C.
Garfield Heights
Garfield Heights is a suburban city located southeast of downtown Cleveland in northeastern Ohio.
-
D.
North Hills
North Hills is a residential neighborhood in the central San Fernando Valley region of Los Angeles, California, known for its suburban character and diverse community.
-
E.
North Hills
North Hills is a suburban region north of Pittsburgh known for its residential communities, schools, and shopping areas.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2eefe8881908a672c4dca7657ca |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d47049c81909b60058c36042f71 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:44 a.m.