Triple
T17760933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison County, Indiana |
E443369
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Fall Creek |
—
|
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: Fall Creek | Statement: [Madison County, Indiana, hasRiver, Fall Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Creek Context triple: [Madison County, Indiana, hasRiver, Fall Creek]
-
A.
Fall Creek
chosen
Fall Creek is a stream in central Indiana that flows through Indianapolis and serves as a notable natural and recreational corridor in the city.
-
B.
Fall Creek
Fall Creek is a significant stream in central New York that flows through Ithaca before emptying into Cayuga Lake.
-
C.
Indian Creek
Indian Creek is a small waterway in Caldwell, Idaho, known for its revitalized downtown corridor, walking paths, and community events along its banks.
-
D.
Indian Creek
Indian Creek is a stream in Illinois historically associated with the 1832 Indian Creek massacre during the Black Hawk War.
-
E.
Cascade Creek
Cascade Creek is a mountain stream in Grand Teton National Park that flows through Cascade Canyon, feeding scenic waterfalls and alpine landscapes.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f7a8e08190a4a6b8368b70c381 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.