Triple
T1421229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macaronesia |
E30227
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Funchal |
E27897
|
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: Funchal | Statement: [Macaronesia, majorCity, Funchal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funchal Context triple: [Macaronesia, majorCity, Funchal]
-
A.
Funchal, Madeira, Portugal
chosen
Funchal, Madeira, Portugal is the capital city of Portugal’s Madeira archipelago, known for its scenic harbor, subtropical climate, and as the hometown of footballer Cristiano Ronaldo.
-
B.
Ponta Delgada
Ponta Delgada is the largest city and main economic and administrative center of the Azores archipelago in Portugal, located on the island of São Miguel.
-
C.
Vilamoura
Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
-
D.
Portimão
Portimão is a coastal city and popular tourist destination in southern Portugal, known for its beaches, marina, and vibrant waterfront along the Arade River.
-
E.
Praia da Luz
Praia da Luz is a popular seaside resort village in Portugal’s Algarve region, known for its sandy beach, cliffs, and tourist-oriented waterfront.
- 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.