Triple
T14819073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry W. Lawton |
E348396
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Maumee, Ohio |
E839662
|
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: Maumee, Ohio | Statement: [Henry W. Lawton, birthPlace, Maumee, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maumee, Ohio Context triple: [Henry W. Lawton, birthPlace, Maumee, Ohio]
-
A.
Maumee, Ohio
chosen
Maumee, Ohio is a historic suburban city near Toledo known for its location along the Maumee River and its role in the region’s early commercial and transportation development.
-
B.
Ashtabula, Ohio
Ashtabula, Ohio is a small industrial and port city on Lake Erie in northeastern Ohio, historically known for its shipping industry and diverse immigrant communities.
-
C.
Huron, Ohio
Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
-
D.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
E.
Union, Ohio
Union, Ohio is a small city in Montgomery County that forms part of the Dayton metropolitan area.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:50 a.m.