Triple
T18736785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosteiros |
E458182
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Atalaia
Atalaia is a small settlement within the municipality of Mosteiros on the island of Fogo in Cape Verde.
|
E1340830
|
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: Atalaia | Statement: [Mosteiros, hasSettlement, Atalaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atalaia Context triple: [Mosteiros, hasSettlement, Atalaia]
-
A.
Orla de Atalaia
Orla de Atalaia is a popular beachfront promenade and leisure complex in Aracaju, Brazil, known for its wide beaches, recreational facilities, and vibrant tourist infrastructure.
-
B.
Laviana
Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
-
C.
Allerona
Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
-
D.
Aruanas
Aruanas is a Brazilian environmental thriller drama series that follows three activists investigating corporate crimes and ecological destruction in the Amazon rainforest.
-
E.
Baralaba
Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
- 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: Atalaia Triple: [Mosteiros, hasSettlement, Atalaia]
Generated description
Atalaia is a small settlement within the municipality of Mosteiros on the island of Fogo in Cape Verde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atalaia Target entity description: Atalaia is a small settlement within the municipality of Mosteiros on the island of Fogo in Cape Verde.
-
A.
Orla de Atalaia
Orla de Atalaia is a popular beachfront promenade and leisure complex in Aracaju, Brazil, known for its wide beaches, recreational facilities, and vibrant tourist infrastructure.
-
B.
Laviana
Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
-
C.
Allerona
Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
-
D.
Aruanas
Aruanas is a Brazilian environmental thriller drama series that follows three activists investigating corporate crimes and ecological destruction in the Amazon rainforest.
-
E.
Baralaba
Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053261c074819081acb03dd7f8f62a |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a05369aa0488190b05cb5d1204db6d3 |
completed | May 14, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053766f7b48190b3b01ee99b22f57d |
completed | May 14, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:51 a.m.