Triple
T10460867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Springfield |
E246669
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Sugar Creek |
E865053
|
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: Sugar Creek | Statement: [Lake Springfield, inflow, Sugar Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Creek Context triple: [Lake Springfield, inflow, Sugar Creek]
-
A.
Sugar Creek
chosen
Sugar Creek is a stream in Illinois that serves as the primary tributary feeding Lake Springfield.
-
B.
Sugar Creek
Sugar Creek is a small city in Jackson County, Missouri, located near Kansas City and known for its historic ties to the oil refinery industry and the Missouri River.
-
C.
Warm Creek
Warm Creek is a watercourse in Southern California that flows through the San Bernardino Valley.
-
D.
Riverbend
Riverbend is a New Orleans neighborhood area known for its riverfront location, historic charm, and lively mix of restaurants, bars, and shops.
-
E.
Riverbend
Riverbend is a major painting series by Australian artist Sidney Nolan, known for its panoramic depictions of the Australian landscape and exploration of national identity.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50883b62c819082711b8c9fd968e3 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc4fbc3481909b214137f26e243b |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.