Triple
T5225161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Cleveland |
E117966
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Lakewood, Ohio |
E147495
|
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: Lakewood, Ohio | Statement: [Greater Cleveland, hasCity, Lakewood, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakewood, Ohio Context triple: [Greater Cleveland, hasCity, Lakewood, Ohio]
-
A.
Westlake, Ohio
Westlake, Ohio is a suburban city located west of Cleveland known for its residential neighborhoods, retail centers, and proximity to Lake Erie.
-
B.
Lakewood, Ohio, United States
chosen
Lakewood, Ohio, United States is an inner-ring suburb of Cleveland known for its dense, walkable neighborhoods and historic housing stock along the Lake Erie shoreline.
-
C.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Westerville, Ohio
Westerville, Ohio is a suburban city northeast of Columbus known for its historic Uptown district, strong public schools, and status as home to Otterbein University.
-
E.
Blue Ash, Ohio
Blue Ash, Ohio is a suburban city in the Cincinnati metropolitan area known for its corporate offices, parks, and regional airport.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef809189c8190b61bd386480c0222 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:48 p.m.