Triple
T2310486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova (TransPennine Express) |
E51944
|
entity |
| Predicate | hasSubfleet |
P37971
|
FINISHED |
| Object |
Nova 3
Nova 3 is a subfleet of modern intercity train sets operated by TransPennine Express in the UK, designed to provide higher-capacity, long-distance services.
|
E256312
|
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: Nova 3 | Statement: [Nova (TransPennine Express), hasSubfleet, Nova 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova 3 Context triple: [Nova (TransPennine Express), hasSubfleet, Nova 3]
-
A.
Pixel 3a
The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
-
B.
Moto G
Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
-
C.
Moto Z
Moto Z is a line of modular Android smartphones by Motorola known for its ultra-thin design and support for snap-on Moto Mods accessories.
-
D.
Nokia X
Nokia X is a line of budget smartphones by Nokia that ran a customized version of Android with a Windows Phone–inspired interface.
-
E.
Google Pixel 3
Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
- 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: Nova 3 Triple: [Nova (TransPennine Express), hasSubfleet, Nova 3]
Generated description
Nova 3 is a subfleet of modern intercity train sets operated by TransPennine Express in the UK, designed to provide higher-capacity, long-distance services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nova 3 Target entity description: Nova 3 is a subfleet of modern intercity train sets operated by TransPennine Express in the UK, designed to provide higher-capacity, long-distance services.
-
A.
Pixel 3a
The Pixel 3a is a mid-range Android smartphone by Google known for delivering flagship-level camera performance at a lower price point.
-
B.
Moto G
Moto G is a popular line of budget-friendly Android smartphones known for offering strong performance and features at an affordable price.
-
C.
Moto Z
Moto Z is a line of modular Android smartphones by Motorola known for its ultra-thin design and support for snap-on Moto Mods accessories.
-
D.
Nokia X
Nokia X is a line of budget smartphones by Nokia that ran a customized version of Android with a Windows Phone–inspired interface.
-
E.
Google Pixel 3
Google Pixel 3 is a flagship Android smartphone by Google known for its advanced computational photography features and clean software experience.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abd0d6b0e48190aee9131ca182e52f |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8959d860819095ea3113e3d9264e |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8d49b7c081909f89c71a56067458 |
completed | March 9, 2026, 9:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8dc4cf44819082f242d6806aa45a |
completed | March 9, 2026, 9:07 a.m. |
Created at: March 4, 2026, 7:49 p.m.