Triple
T2010275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue |
E43672
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | River |
E44527
|
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: River | Statement: [Blue, notableSong, River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Context triple: [Blue, notableSong, River]
-
A.
River
chosen
"River" is a melancholic 1971 folk song by Joni Mitchell, often associated with the holiday season and emotional heartbreak.
-
B.
Stream
Stream is Microsoft's enterprise video service within Microsoft 365 that enables secure creation, sharing, and management of organizational video content.
-
C.
Rivers
Rivers is a surname shared by various notable individuals across fields such as politics, sports, entertainment, and the arts.
-
D.
River Corve
River Corve is a small river in Shropshire, England, that flows through rural countryside before joining the River Teme.
-
E.
River Seph
River Seph is a small river flowing through the North York Moors in North Yorkshire, England, contributing to the region’s rural landscape and drainage 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.