Triple
T23190556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Stripes |
E579720
|
entity |
| Predicate | hasCollaboratingArtist |
P54926
|
FINISHED |
| Object | SWV |
—
|
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: SWV | Statement: [Three Stripes, hasCollaboratingArtist, SWV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWV Context triple: [Three Stripes, hasCollaboratingArtist, SWV]
-
A.
SWV
chosen
SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
-
B.
SWV
SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
-
C.
SWU
SWU is the commonly used abbreviation for Southwest University, a comprehensive higher education institution in China.
-
D.
WSV
WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
-
E.
SW
SW is the vehicle registration code used on license plates for vehicles registered in the Schweinfurt district of Germany.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.