Triple
T7769820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brava (Cape Verde) |
E179040
|
entity |
| Predicate | smallestIn |
P14659
|
FINISHED |
| Object | inhabited islands of Cape Verde |
—
|
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: inhabited islands of Cape Verde | Statement: [Brava (Cape Verde), smallestIn, inhabited islands of Cape Verde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallestIn Context triple: [Brava (Cape Verde), smallestIn, inhabited islands of Cape Verde]
-
A.
isSmallestOf
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
B.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
C.
isOneOfSmallestLetters
Indicates that the letter is among the smallest (e.g., lowest-ranked or minimal) letters within a specified set or ordering.
-
D.
isSmallestByAreaIn
chosen
Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or context.
-
E.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
- F. None of above.
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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70438ca2481909114b0c434717109 |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:11 p.m.