Triple
T2824284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskegon Lake |
E54883
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Ryerson Creek |
E522018
|
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: Ryerson Creek | Statement: [Muskegon Lake, inflow, Ryerson Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryerson Creek Context triple: [Muskegon Lake, inflow, Ryerson Creek]
-
A.
Ryerson Creek
chosen
Ryerson Creek is a small waterway in Muskegon, Michigan, that serves as a tributary flowing into Muskegon Lake.
-
B.
Caledon Creek
Caledon Creek is a small watercourse in Ontario, Canada, that forms part of the Credit River watershed.
-
C.
Humber Creek
Humber Creek is a small urban watercourse in Toronto, Ontario, that flows through residential and park areas before joining the Humber River.
-
D.
Fairview Creek
Fairview Creek is a small waterway in the Portland metropolitan area of Oregon that flows through the city of Gresham and into Fairview Lake.
-
E.
Wyee Creek
Wyee Creek is a watercourse in New South Wales, Australia, that serves as one of the tributaries feeding into Lake Macquarie.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde91487881909989c08bbf76f0da |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c17c9e0819088404cd2d81bfe88 |
completed | March 22, 2026, 4:12 a.m. |
Created at: March 6, 2026, 9:59 p.m.