Triple
T7438869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyer, Indiana |
E171692
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | St. John, Indiana |
E631976
|
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: St. John, Indiana | Statement: [Dyer, Indiana, adjacentTo, St. John, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. John, Indiana Context triple: [Dyer, Indiana, adjacentTo, St. John, Indiana]
-
A.
St. John, Indiana
chosen
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
-
B.
Elwood, Indiana
Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
-
C.
Jacksonburg, Indiana
Jacksonburg, Indiana is a small unincorporated rural community located in Wayne County in the eastern part of the state.
-
D.
Osceola, Indiana
Osceola, Indiana is a small town in northern Indiana situated between the cities of South Bend and Elkhart.
-
E.
Rochester, Indiana
Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34c28648190a426b5d7623b41e8 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c54c5ec8190bc2adf5a19fdea1c |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:13 p.m.