Triple
T16952719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Indiana |
E411222
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Dyer, Indiana |
E171692
|
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: Dyer, Indiana | Statement: [Northwest Indiana, hasMajorCity, Dyer, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyer, Indiana Context triple: [Northwest Indiana, hasMajorCity, Dyer, Indiana]
-
A.
Dyer, Indiana
chosen
Dyer, Indiana is a suburban town in northwest Indiana near the Illinois border, known as part of the greater Chicago metropolitan area.
-
B.
Yoder, Indiana
Yoder, Indiana is a small unincorporated rural community located in northeastern Indiana.
-
C.
Dodd, Indiana
Dodd, Indiana is an unincorporated rural community located in Perry County in the southern part of the U.S. state of Indiana.
-
D.
Durnsville, Indiana
Durnsville, Indiana is the fictional small Midwestern town where the protagonist of the comedy series "Unbreakable Kimmy Schmidt" was held captive in an underground bunker.
-
E.
Elwood, Indiana
Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc06e6b481908d8032f5772762c9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.