Triple
T11184178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Ash, Ohio |
E264617
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Montgomery, Ohio |
E233006
|
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: Montgomery, Ohio | Statement: [Blue Ash, Ohio, borderedBy, Montgomery, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montgomery, Ohio Context triple: [Blue Ash, Ohio, borderedBy, Montgomery, Ohio]
-
A.
Montgomery, Ohio
chosen
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
B.
Trenton, Ohio
Trenton, Ohio is a small city in Butler County known as a residential community within the greater Cincinnati–Dayton metropolitan region.
-
C.
St. Marys, Ohio
St. Marys, Ohio is a small city in western Ohio known for its proximity to Grand Lake St. Marys and its historic canal-era heritage.
-
D.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
E.
Monroe, Ohio
Monroe, Ohio is a small city in Butler and Warren counties known for its suburban character and location between Cincinnati and Dayton in southwestern Ohio.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3643a23481909103166abb6aaa4e |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 8, 2026, 9:29 p.m.