Triple
T1421230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macaronesia |
E30227
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Ponta Delgada |
E68647
|
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: Ponta Delgada | Statement: [Macaronesia, majorCity, Ponta Delgada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponta Delgada Context triple: [Macaronesia, majorCity, Ponta Delgada]
-
A.
Ponta Delgada
chosen
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.
-
B.
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.
-
C.
Horta
Horta is a coastal city on the island of Faial in the Azores, known for its historic transatlantic harbor and vibrant marina frequented by ocean-crossing yachts.
-
D.
Vila do Bispo
Vila do Bispo is a small coastal municipality in Portugal’s Algarve region, known for its rugged Atlantic cliffs, beaches, and proximity to the southwestern tip of mainland Europe.
-
E.
Armação de Pêra
Armação de Pêra is a coastal resort town in Portugal’s Algarve region, known for its sandy beaches and tourism.
- 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_69ad400e0a8c8190956ec444b86aa28c |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 1, 2026, 8 p.m.