Triple
T1421178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macaronesia |
E30227
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Madeira |
E15891
|
NE 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: Madeira | Statement: [Macaronesia, hasPart, Madeira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madeira Context triple: [Macaronesia, hasPart, Madeira]
-
A.
Madeira
chosen
Madeira is a Portuguese archipelago in the North Atlantic Ocean known for its rugged volcanic landscapes, mild subtropical climate, and namesake fortified wine.
-
B.
Azores
The Azores are a remote Portuguese archipelago in the North Atlantic Ocean, known for their volcanic landscapes, lush greenery, and mild maritime climate.
-
C.
Tavira Island
Tavira Island is a scenic barrier island off the Algarve coast of southern Portugal, known for its long sandy beaches, dunes, and protected natural habitats.
-
D.
Santa Maria Island
Santa Maria Island is the southernmost island of Portugal’s Azores archipelago, known for its warmer, drier climate and distinctive white-sand beaches.
-
E.
Canary Islands
The Canary Islands are a Spanish archipelago off the northwest coast of Africa, known for their volcanic landscapes, subtropical climate, and popularity as a tourist destination.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c42210948190a8fb5e3f9ee3213b |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015f5ad08190aaa0d1063432af2b |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 8 p.m.