Triple
T4407845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico do Fogo |
E93777
|
entity |
| Predicate | island |
P970
|
FINISHED |
| Object | Fogo |
E93776
|
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: Fogo | Statement: [Pico do Fogo, island, Fogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fogo Context triple: [Pico do Fogo, island, Fogo]
-
A.
Fogo
chosen
Fogo is a volcanic island in Cape Verde known for its active stratovolcano Pico do Fogo and dramatic mountainous landscapes.
-
B.
Fuego
Fuego is an active stratovolcano in Guatemala known for its frequent explosive eruptions and dramatic ash plumes.
-
C.
Santa Catarina do Fogo
Santa Catarina do Fogo is a municipality on the island of Fogo in Cape Verde, known for its rural communities and agricultural activities.
-
D.
Campomoro
Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
-
E.
Vidigal
Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548cb92881908a3f98466da8e0a2 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6374a22c88190ba36ddb180634573 |
completed | March 15, 2026, 4:36 a.m. |
Created at: March 12, 2026, 11:28 p.m.