Triple
T15410876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia N8 |
E368585
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object |
Vasco
Vasco is the internal codename for Nokia's N8 smartphone, a flagship Symbian device known for its advanced camera and multimedia capabilities.
|
E1155519
|
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: Vasco | Statement: [Nokia N8, codename, Vasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasco Context triple: [Nokia N8, codename, Vasco]
-
A.
Santos
Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
-
B.
Santos
Santos is a major Australian oil and gas exploration and production company with significant operations across Australia and the Asia-Pacific region.
-
C.
Santos
Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
-
D.
Portuguesa Santista
Portuguesa Santista is a Brazilian football club based in Santos, São Paulo, known for its youth development and regional tradition.
-
E.
Curaco de Vélez
Curaco de Vélez is a small coastal town and commune in southern Chile’s Chiloé Archipelago, known for its traditional Chilote culture and wooden architecture.
- 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: Vasco Triple: [Nokia N8, codename, Vasco]
Generated description
Vasco is the internal codename for Nokia's N8 smartphone, a flagship Symbian device known for its advanced camera and multimedia capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vasco Target entity description: Vasco is the internal codename for Nokia's N8 smartphone, a flagship Symbian device known for its advanced camera and multimedia capabilities.
-
A.
Santos
Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
-
B.
Santos
Santos is a major Australian oil and gas exploration and production company with significant operations across Australia and the Asia-Pacific region.
-
C.
Santos
Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
-
D.
Portuguesa Santista
Portuguesa Santista is a Brazilian football club based in Santos, São Paulo, known for its youth development and regional tradition.
-
E.
Curaco de Vélez
Curaco de Vélez is a small coastal town and commune in southern Chile’s Chiloé Archipelago, known for its traditional Chilote culture and wooden architecture.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7356548190af5651ab0bc03ab9 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1afa99888190bfb60fd88d840d4e |
completed | May 9, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bde8914819087d5d2ac88de34aa |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:20 a.m.