Triple
T21158004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IN-2 |
E521361
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Warsaw, Indiana |
—
|
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: Warsaw, Indiana | Statement: [IN-2, contains, Warsaw, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warsaw, Indiana Context triple: [IN-2, contains, Warsaw, Indiana]
-
A.
Warsaw, Indiana
chosen
Warsaw, Indiana is a small city in northern Indiana known as the "Orthopedic Capital of the World" for its concentration of medical device manufacturers.
-
B.
Madison, Indiana
Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
-
C.
Waterloo, Indiana
Waterloo, Indiana is a small town in northeastern Indiana that functions as a regional rail stop, notably hosting Amtrak’s Capitol Limited route between Chicago and the East Coast.
-
D.
Wabash, Indiana
Wabash, Indiana is a small Midwestern city known for its historic downtown and for being one of the first electrically lighted cities in the world.
-
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 (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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252dc3f0819094c6acf52a9f308d |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.