Triple
T18284438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico do Fogo |
E437945
|
entity |
| Predicate | hasSettlementInCaldera |
P50363
|
FINISHED |
| Object |
Bangaeira
Bangaeira is a small settlement located within the caldera of Pico do Fogo volcano on the island of Fogo in Cape Verde.
|
E1316167
|
NE FINISHED |
How this triple was built (4 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: Bangaeira | Statement: [Pico do Fogo, hasSettlementInCaldera, Bangaeira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangaeira Context triple: [Pico do Fogo, hasSettlementInCaldera, Bangaeira]
-
A.
Barbatona
Barbatona is a small locality within the municipality of Sigüenza in the province of Guadalajara, Spain.
-
B.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
C.
Beggiatoa
Beggiatoa is a genus of filamentous, sulfur-oxidizing bacteria commonly found in aquatic and sediment environments where they play a key role in sulfur cycling.
-
D.
Bergalia
Bergalia is a small rural locality in New South Wales, Australia, situated near the coastal town of Moruya.
-
E.
Bugarra
Bugarra is a small municipality in the province of Valencia, Spain, known for its rural landscape and riverside setting along the Turia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bangaeira Triple: [Pico do Fogo, hasSettlementInCaldera, Bangaeira]
Generated description
Bangaeira is a small settlement located within the caldera of Pico do Fogo volcano on the island of Fogo in Cape Verde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangaeira Target entity description: Bangaeira is a small settlement located within the caldera of Pico do Fogo volcano on the island of Fogo in Cape Verde.
-
A.
Barbatona
Barbatona is a small locality within the municipality of Sigüenza in the province of Guadalajara, Spain.
-
B.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
C.
Beggiatoa
Beggiatoa is a genus of filamentous, sulfur-oxidizing bacteria commonly found in aquatic and sediment environments where they play a key role in sulfur cycling.
-
D.
Bergalia
Bergalia is a small rural locality in New South Wales, Australia, situated near the coastal town of Moruya.
-
E.
Bugarra
Bugarra is a small municipality in the province of Valencia, Spain, known for its rural landscape and riverside setting along the Turia.
- F. None of above. chosen
Provenance (5 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500f913d48190b41a1e37ca05e8b1 |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b403ea748190956a3a78fdb4460b |
completed | May 12, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a03b7dcdb94819097abd7d32c6b0447 |
completed | May 12, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b885eb6c819080f3a8f1bbe8bab5 |
completed | May 12, 2026, 11:32 p.m. |
Created at: April 10, 2026, 10:35 a.m.