Triple
T21547924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yentna River |
E531677
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Moose Creek |
E1463073
|
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: Moose Creek | Statement: [Yentna River, hasTributary, Moose Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moose Creek Context triple: [Yentna River, hasTributary, Moose Creek]
-
A.
Moose Creek
chosen
Moose Creek is a stream in Alaska that lends its name to the nearby Moose Creek Dam and surrounding area.
-
B.
Moose Creek
Moose Creek is a small community located within Russell County in the Canadian province of Ontario.
-
C.
Muskeg River
The Muskeg River is a watercourse that serves as one of the tributary rivers feeding into Lake of the Woods in North America.
-
D.
Banning Creek
Banning Creek is a stream in Arizona that serves as the primary inflow to Goldwater Lake near Prescott.
-
E.
Red Creek
Red Creek is a smaller stream in New York State that feeds into the Genesee River as part of its watershed system.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58fb6608190a58cd00ecf560834 |
completed | April 27, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf28c6374819099ff8ca38085d7d3 |
completed | May 19, 2026, 5:18 a.m. |
Created at: April 16, 2026, 6:28 p.m.