Triple
T20828842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viazul |
E512772
|
entity |
| Predicate | notableRoute |
P22
|
FINISHED |
| Object | Havana–Varadero |
—
|
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: Havana–Varadero | Statement: [Viazul, notableRoute, Havana–Varadero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havana–Varadero Context triple: [Viazul, notableRoute, Havana–Varadero]
-
A.
Varadero
chosen
Varadero is a major Cuban beach resort town on the Hicacos Peninsula, renowned for its long white-sand beaches and tourism infrastructure.
-
B.
Las Villas
Las Villas was a historic central province of Cuba that served as a significant theater of military operations during the Cuban War of Independence.
-
C.
Cienfuegos
Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
-
D.
Pinar del Río
Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
-
E.
Pinar del Río, Cuba
Pinar del Río, Cuba is a western Cuban city and provincial capital known for its rich tobacco-growing region and traditional cigar production.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32030c081908249449aae5925c8 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.