Triple
T962961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaGrange, New York |
E20774
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Town of LaGrange |
E20774
|
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: Town of LaGrange | Statement: [LaGrange, New York, hasOfficialName, Town of LaGrange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of LaGrange Context triple: [LaGrange, New York, hasOfficialName, Town of LaGrange]
-
A.
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.
-
B.
LaGrange
chosen
LaGrange is a town in Dutchess County, New York, known as a suburban community in the Hudson Valley region.
-
C.
Groveland
Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
-
D.
Union Town
Union Town was the original name given to what is now Uniontown, Pennsylvania, a historic city in Fayette County known for its role in early American frontier and industrial development.
-
E.
Juneautown
Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a6107481909b152291a73958d3 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.