Triple
T26743901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinar del Río, Cuba |
E674340
|
entity |
| Predicate | Vuelta AbajoKnownFor |
P161185
|
FINISHED |
| Object | high-quality cigar tobacco |
—
|
LITERAL 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: high-quality cigar tobacco | Statement: [Pinar del Río, Cuba, Vuelta AbajoKnownFor, high-quality cigar tobacco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Vuelta AbajoKnownFor Context triple: [Pinar del Río, Cuba, Vuelta AbajoKnownFor, high-quality cigar tobacco]
-
A.
descentVia
Indicates a lineage relationship where one entity is descended from another through one or more intermediate generations or branches.
-
B.
blowsDownSlopeOf
Indicates that something (typically wind or air) moves or exerts force downward along the incline or gradient of a slope relative to another entity.
-
C.
wasBelow
Indicates that one entity was positioned at a lower level or altitude than another entity at a given time.
-
D.
Pico Bill
Indicates a legislative proposal or law specifically related to pico-scale or very small-scale matters, actions, or regulations.
-
E.
أولمنحملاللقب
Indicates that the subject is the first entity ever to hold or bear the specified title.
- F. None of above. chosen
Provenance (4 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61880cac881909ed6b653b09164d2 |
completed | May 2, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:50 a.m.