Triple
T6492063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue River |
E148062
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Blue River |
E148062
|
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: Blue River | Statement: [Blue River, hasName, Blue River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue River Context triple: [Blue River, hasName, Blue River]
-
A.
Blue River
chosen
Blue River is a tributary of the Missouri River that flows through eastern Kansas and western Missouri, including the Kansas City metropolitan area.
-
B.
Bei River
The Bei River is one of the principal tributaries of southern China’s Pearl River system, flowing through Guangdong province and helping drain the Pearl River Delta region.
-
C.
Spring River
Spring River is a tributary of the Arkansas River that flows through parts of Kansas, Missouri, and Oklahoma in the central United States.
-
D.
Drift River
Drift River is a river in Alaska that flows into Cook Inlet, known for its proximity to the Redoubt Volcano and associated lahar and flooding hazards.
-
E.
Black River
Black River is a common river name used in various regions worldwide, typically referring to waterways characterized by dark-colored water due to organic matter or sediment.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c988df1e4c8190a46c971a3f9b2d49 |
completed | March 29, 2026, 8:17 p.m. |
Created at: March 22, 2026, 4:53 p.m.