Triple
T16355491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthers |
E397167
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Cedar Falls |
E9316
|
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: Cedar Falls | Statement: [Panthers, city, Cedar Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedar Falls Context triple: [Panthers, city, Cedar Falls]
-
A.
Cedar Falls
Cedar Falls is a scenic waterfall and popular natural attraction located within Hocking Hills State Park in Hocking County, Ohio.
-
B.
Cedar Falls, Iowa
chosen
Cedar Falls, Iowa is a city in northeastern Iowa known for being home to the University of Northern Iowa and a regional center for education and culture.
-
C.
Cedar Rapids
Cedar Rapids is a 2011 American comedy film starring Ed Helms as a naive insurance agent navigating unexpected misadventures at a regional conference in Iowa.
-
D.
Cedar Rapids, Iowa
Cedar Rapids, Iowa is the second-largest city in the state, known as a major economic and cultural hub of eastern Iowa with a strong manufacturing base and vibrant arts scene.
-
E.
Iowa Falls
Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ecdffac81908ca03a88974203f9 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:07 a.m.