Triple
T8746580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendricks County, Indiana |
E207842
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Stilesville, Indiana |
E727832
|
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: Stilesville, Indiana | Statement: [Hendricks County, Indiana, hasTown, Stilesville, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stilesville, Indiana Context triple: [Hendricks County, Indiana, hasTown, Stilesville, Indiana]
-
A.
Stilesville, Indiana
chosen
Stilesville, Indiana is a small town located in Hendricks County in the U.S. state of Indiana.
-
B.
Stinesville, Indiana
Stinesville, Indiana is a small historic town in Monroe County known for its limestone quarrying heritage.
-
C.
Schereville, Indiana
Schererville, Indiana is a suburban town in Lake County within the Chicago metropolitan area, known for its residential communities and commercial development.
-
D.
St. John, Indiana
St. John, Indiana is a suburban town in Lake County known for its residential communities, good schools, and proximity to the Chicago metropolitan area.
-
E.
Thorntown, Indiana
Thorntown, Indiana is a small town in Boone County known for its rural Midwestern character and historic downtown.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf43090d388190b6256623805a6348 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.