Triple
T4504010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegro trains between Saint Petersburg and Helsinki |
E101287
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | Allegro |
E101290
|
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: Allegro | Statement: [Allegro trains between Saint Petersburg and Helsinki, branding, Allegro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allegro Context triple: [Allegro trains between Saint Petersburg and Helsinki, branding, Allegro]
-
A.
Allegro
Allegro is a 1947 Rodgers and Hammerstein musical that experiments with nontraditional staging and narrative to follow a man's life from birth through adulthood.
-
B.
Allegro
chosen
Allegro is a high-speed passenger train service operating between Russia and Finland under the Russian Railways brand.
-
C.
Rhapsody
Rhapsody was Apple’s early post-NeXT operating system project that combined NeXTSTEP’s advanced technologies with a Mac OS–compatible environment, serving as a key transitional step toward what became Mac OS X.
-
D.
Tempo
Tempo was the internal codename used by Apple for the Mac OS 8 operating system during its development.
-
E.
Rapsodi
Rapsodi is the debut studio album by Nigerian rapper Olamide, which helped launch him into mainstream recognition in the Afrobeats and hip-hop scene.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fca7d4819081deb34628e04f00 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f71de7081908520ebb81d184e0c |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.