Triple
T4766122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcomerstown, Ohio |
E105814
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Cambridge, Ohio |
E351683
|
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: Cambridge, Ohio | Statement: [Newcomerstown, Ohio, locatedNear, Cambridge, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambridge, Ohio Context triple: [Newcomerstown, Ohio, locatedNear, Cambridge, Ohio]
-
A.
Cambridge, Ohio
chosen
Cambridge, Ohio is a small city in eastern Ohio known as a regional crossroads and historic community in Guernsey County.
-
B.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
C.
Oxford, Ohio
Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
-
D.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
E.
Camden, Ohio
Camden, Ohio is a small village in Preble County known as the birthplace of American modernist writer Sherwood Anderson.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6534d6b48190911c295b5601a762 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf486aabac8190a90b4402403078ac |
completed | March 22, 2026, 1:39 a.m. |
Created at: March 20, 2026, 1:21 p.m.