Triple
T11030078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boe |
E260733
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Boé sector
Boé sector is an administrative subdivision in Guinea-Bissau that encompasses the town of Boe and its surrounding area.
|
E899818
|
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: Boé sector | Statement: [Boe, locatedIn, Boé sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boé sector Context triple: [Boe, locatedIn, Boé sector]
-
A.
Nenguanje sector
Nenguanje sector is a coastal area within Colombia’s Tayrona National Natural Park, known for its beaches, natural scenery, and access to nearby ecotourism sites.
-
B.
Tambillo sector
Tambillo sector is a protected area within Chile's Los Flamencos National Reserve, known for its high Andean landscapes and native flora and fauna.
-
C.
Buiucani sector
Buiucani sector is an administrative district of Chișinău, Moldova, known for its residential neighborhoods, parks, and educational institutions.
-
D.
Ciocana sector
Ciocana sector is an administrative district of Chișinău, the capital city of Moldova, known for its residential neighborhoods and industrial areas.
-
E.
Pujsa sector
Pujsa sector is a protected high-altitude wetland area within Chile’s Los Flamencos National Reserve, known for its salt flats, lagoons, and Andean wildlife.
- 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: Boé sector Triple: [Boe, locatedIn, Boé sector]
Generated description
Boé sector is an administrative subdivision in Guinea-Bissau that encompasses the town of Boe and its surrounding area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boé sector Target entity description: Boé sector is an administrative subdivision in Guinea-Bissau that encompasses the town of Boe and its surrounding area.
-
A.
Nenguanje sector
Nenguanje sector is a coastal area within Colombia’s Tayrona National Natural Park, known for its beaches, natural scenery, and access to nearby ecotourism sites.
-
B.
Tambillo sector
Tambillo sector is a protected area within Chile's Los Flamencos National Reserve, known for its high Andean landscapes and native flora and fauna.
-
C.
Buiucani sector
Buiucani sector is an administrative district of Chișinău, Moldova, known for its residential neighborhoods, parks, and educational institutions.
-
D.
Ciocana sector
Ciocana sector is an administrative district of Chișinău, the capital city of Moldova, known for its residential neighborhoods and industrial areas.
-
E.
Pujsa sector
Pujsa sector is a protected high-altitude wetland area within Chile’s Los Flamencos National Reserve, known for its salt flats, lagoons, and Andean wildlife.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d2feb881909a5684721e8b0d9c |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3753c39408190982aba88ea1dbf19 |
completed | April 18, 2026, 12:12 p.m. |
| NEDg | Description generation | batch_69e37bd5df4c81909c26804b1faeaef8 |
completed | April 18, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37d6789b08190a5ff8d18305e9bd3 |
completed | April 18, 2026, 12:47 p.m. |
Created at: April 8, 2026, 9:25 p.m.