Triple
T26594317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achada Furna |
E667446
|
entity |
| Predicate | isOnIslandCountry |
P148944
|
FINISHED |
| Object | Cape Verde |
—
|
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: Cape Verde | Statement: [Achada Furna, isOnIslandCountry, Cape Verde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnIslandCountry Context triple: [Achada Furna, isOnIslandCountry, Cape Verde]
-
A.
locatedInIslandNation
Indicates that one entity is geographically situated within the territory of a sovereign island nation.
-
B.
hasIslandNation
Indicates that one entity is an island-based sovereign state associated with or possessed by another entity.
-
C.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
D.
isIslandNationCode
Indicates that a given code designates a country whose territory consists primarily of one or more islands.
-
E.
locatedOnIslandOfCountry
chosen
Indicates that something is situated on an island that belongs to, or is part of, a specified country.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61528e2b88190a35896a563572146 |
completed | May 2, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 2:09 a.m.