Triple
T14017165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Wawarsing, New York |
E337232
|
entity |
| Predicate | hasWatercourse |
P165
|
FINISHED |
| Object | Sandburg 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: Sandburg Creek | Statement: [Town of Wawarsing, New York, hasWatercourse, Sandburg Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandburg Creek Context triple: [Town of Wawarsing, New York, hasWatercourse, Sandburg Creek]
-
A.
Sandburg Creek
chosen
Sandburg Creek is a small stream in New York’s Hudson Valley that feeds into the larger Rondout Creek within the Catskill region.
-
B.
Namozine Creek
Namozine Creek is a small waterway in Virginia that feeds into the Appomattox River and drains portions of the surrounding rural landscape.
-
C.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
-
D.
Soldier Creek
Soldier Creek is a stream in northeastern Kansas that flows through Shawnee County and serves as a tributary of the Kansas River.
-
E.
Brokenstraw Creek
Brokenstraw Creek is a tributary stream in northwestern Pennsylvania known for its scenic valley, recreational fishing, and contribution to the Allegheny River watershed.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
Created at: April 9, 2026, 10:19 p.m.