Triple
T7205305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nosy Be |
E148650
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
|
E648868
|
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: Nossi-Bé | Statement: [Nosy Be, alsoKnownAs, Nossi-Bé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nossi-Bé Context triple: [Nosy Be, alsoKnownAs, Nossi-Bé]
-
A.
Foumban
Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
-
B.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
C.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
D.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
E.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
- 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: Nossi-Bé Triple: [Nosy Be, alsoKnownAs, Nossi-Bé]
Generated description
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nossi-Bé Target entity description: Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
-
A.
Foumban
Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
-
B.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
C.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
D.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
E.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94d68ec8190ae3e1280bad12665 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfbb7564819091ce3669380409a1 |
completed | March 28, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c7c05a1f548190914a9b2ba98cbef2 |
completed | March 28, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c0e6b508819093092e3516a9ec46 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:52 p.m.