Triple
T11856935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gahanna, Ohio |
E282062
|
entity |
| Predicate | hasWatercourse |
P165
|
FINISHED |
| Object | Big Walnut Creek |
E848879
|
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: Big Walnut Creek | Statement: [Gahanna, Ohio, hasWatercourse, Big Walnut Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Walnut Creek Context triple: [Gahanna, Ohio, hasWatercourse, Big Walnut Creek]
-
A.
Big Walnut Creek
Big Walnut Creek is a stream in Indiana known for flowing through Putnam County and providing a natural waterway near the city of Greencastle.
-
B.
Big Walnut Creek
chosen
Big Walnut Creek is a significant stream in central Ohio that flows through the Columbus area before joining the Scioto River.
-
C.
Plane Creek
Plane Creek is a river in Queensland, Australia, that flows through the Mackay Region before reaching the coast.
-
D.
Sandy Creek
Sandy Creek is a small stream in Illinois that flows near the city of Jacksonville.
-
E.
Well Creek
Well Creek is a waterway associated with the locality of Upwell in England, forming part of the region’s drainage and navigation network.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00679214208190a9ee4cce882f59cb |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.