Triple
T3142127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Pico |
E65673
|
entity |
| Predicate | nameInPortuguese |
P23359
|
FINISHED |
| Object | Montanha do Pico |
E65673
|
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: Montanha do Pico | Statement: [Mount Pico, nameInPortuguese, Montanha do Pico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montanha do Pico Context triple: [Mount Pico, nameInPortuguese, Montanha do Pico]
-
A.
Mount Pico
chosen
Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
-
B.
Pico Ruivo
Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
-
C.
Serra da Estrela
Serra da Estrela is the highest mountain range in mainland Portugal, known for its glacial landscapes, ski resort, and production of the traditional Serra da Estrela cheese.
-
D.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
-
E.
Pico do Fogo
Pico do Fogo is an active stratovolcano on Fogo Island in Cape Verde, renowned for its prominent cone and dramatic volcanic landscape.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada579b07c8190a7b316f499911a2d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235b6685c8190b88501d7b2ad0d25 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:05 p.m.