Triple
T14633619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Sebastião |
E343544
|
entity |
| Predicate | municipalitySeat |
P15510
|
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: [São Sebastião, municipalitySeat, Ponta Delgada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponta Delgada Context triple: [São Sebastião, municipalitySeat, 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.
Porto-Campanhã
Porto-Campanhã is the main railway station in Porto, Portugal, serving as a central hub for long-distance and regional train services across the country.
-
C.
Figueira da Horta
Figueira da Horta is a small village located on the island of Maio in Cape Verde.
-
D.
Viana do Castelo
Viana do Castelo is a historic coastal city in northern Portugal, known for its maritime heritage, medieval architecture, and the hilltop Sanctuary of Santa Luzia overlooking the Atlantic Ocean.
-
E.
Portos dos Açores
Portos dos Açores is a regional port authority company responsible for managing and operating several maritime ports in the Azores archipelago, Portugal.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff908410548190ada5d4f71d52919b |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 1:26 a.m.