Triple
T4741715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boa Vista (Cape Verde) |
E105258
|
entity |
| Predicate | rankByAreaInCapeVerde |
P58506
|
FINISHED |
| Object | third largest island |
—
|
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: third largest island | Statement: [Boa Vista (Cape Verde), rankByAreaInCapeVerde, third largest island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByAreaInCapeVerde Context triple: [Boa Vista (Cape Verde), rankByAreaInCapeVerde, third largest island]
-
A.
rankInCanaryIslandsByArea
Indicates the numerical position of an entity in an ordered list of areas within the Canary Islands, from largest to smallest.
-
B.
populationRankInPortugal
Indicates the relative position of an entity in terms of population size compared to other entities within Portugal.
-
C.
rankByAreaInCanadaIslands
Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
-
D.
rankByAreaInCaribbean
Indicates the relative ordering of entities based on their area size specifically within the Caribbean region.
-
E.
demarcationLineDistanceFromAzoresOrCapeVerde
Indicates the measured distance between a specified demarcation line and the reference locations of either the Azores or Cape Verde.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a7153881909eac451fc7566d25 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd637e19e081909e415544106c7835 |
completed | March 20, 2026, 3:10 p.m. |
Created at: March 20, 2026, 1:19 p.m.