Triple
T13014242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia E71 |
E322502
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
E71
The E71 is a Nokia smartphone from the Eseries line, known for its full QWERTY keyboard, slim metal design, and business-oriented features.
|
E1015106
|
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: E71 | Statement: [Nokia E71, alsoKnownAs, E71]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E71 Context triple: [Nokia E71, alsoKnownAs, E71]
-
A.
E70
E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
-
B.
E70
E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
-
C.
A71
A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
-
D.
E75
E75 is a major north–south European route running from northern Norway through central Europe to Greece, forming part of the international E-road network.
-
E.
E7 series
The E7 series is a high-speed Shinkansen train type operated by JR East and JR West in Japan, known for its comfort-focused design and use on routes such as the Hokuriku Shinkansen.
- 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: E71 Triple: [Nokia E71, alsoKnownAs, E71]
Generated description
The E71 is a Nokia smartphone from the Eseries line, known for its full QWERTY keyboard, slim metal design, and business-oriented features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E71 Target entity description: The E71 is a Nokia smartphone from the Eseries line, known for its full QWERTY keyboard, slim metal design, and business-oriented features.
-
A.
E70
E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
-
B.
E70
E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
-
C.
A71
A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
-
D.
E75
E75 is a major north–south European route running from northern Norway through central Europe to Greece, forming part of the international E-road network.
-
E.
E7 series
The E7 series is a high-speed Shinkansen train type operated by JR East and JR West in Japan, known for its comfort-focused design and use on routes such as the Hokuriku Shinkansen.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11290e08190a41c162d47094203 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34dff148190bc016ea8fd88c9ad |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 8:50 p.m.