Triple
T4730179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansfield |
E104984
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Mansfield, Ohio |
E494343
|
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: Mansfield, Ohio | Statement: [Mansfield, hasTwinTown, Mansfield, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mansfield, Ohio Context triple: [Mansfield, hasTwinTown, Mansfield, Ohio]
-
A.
Mansfield, Ohio
chosen
Mansfield, Ohio is a mid-sized city in north-central Ohio known historically for its manufacturing base and as the home of the Ohio State Reformatory, a popular film and tourist site.
-
B.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
C.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
D.
Hilliard, Ohio
Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
-
E.
Miamisburg, Ohio
Miamisburg, Ohio is a suburban city in southwestern Ohio known for its historic downtown and proximity to Dayton in the Miami Valley region.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64629bc081908754aa8a2630091f |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a7def848190836605d706aa7599 |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 20, 2026, 1:19 p.m.