Triple
T19952033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaGrange, Ohio |
E479579
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | LaGrange |
—
|
NE NERFINISHED |
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: LaGrange | Statement: [LaGrange, Ohio, hasName, LaGrange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaGrange Context triple: [LaGrange, Ohio, hasName, LaGrange]
-
A.
LaGrange
LaGrange is a town in Dutchess County, New York, known as a suburban community in the Hudson Valley region.
-
B.
LaGrange
LaGrange is a small city in western Georgia known for its historic downtown, proximity to West Point Lake, and role as an economic and cultural center for the surrounding region.
-
C.
LaGrange
chosen
LaGrange is a small village in northeastern Ohio, United States, known for its residential community and local parks.
-
D.
Aiken
Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
-
E.
Macon
Macon is a surname of English and French origin borne by various notable individuals, including American statesman Nathaniel Macon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6c87388190a1bada3117acaf7b |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.