Triple
T10857700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova 3 |
E256312
|
entity |
| Predicate | locomotiveType |
P5426
|
FINISHED |
| Object |
Class 68
Class 68 is a modern British diesel-electric locomotive class used for both passenger and freight services on the UK rail network.
|
E889024
|
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: Class 68 | Statement: [Nova 3, locomotiveType, Class 68]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Class 68 Context triple: [Nova 3, locomotiveType, Class 68]
-
A.
Class 158
Class 158 is a British diesel multiple unit train widely used on regional and intercity services, known for its higher comfort and speed compared to older provincial stock.
-
B.
Class 165/1
Class 165/1 is a subseries of British diesel multiple-unit commuter trains designed for regional and suburban passenger services in the UK.
-
C.
Y class
Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
-
D.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
E.
Class 150/2
Class 150/2 is a subclass of the British Rail Class 150 diesel multiple units, built for regional and commuter services on the UK rail network.
- 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: Class 68 Triple: [Nova 3, locomotiveType, Class 68]
Generated description
Class 68 is a modern British diesel-electric locomotive class used for both passenger and freight services on the UK rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Class 68 Target entity description: Class 68 is a modern British diesel-electric locomotive class used for both passenger and freight services on the UK rail network.
-
A.
Class 158
Class 158 is a British diesel multiple unit train widely used on regional and intercity services, known for its higher comfort and speed compared to older provincial stock.
-
B.
Class 165/1
Class 165/1 is a subseries of British diesel multiple-unit commuter trains designed for regional and suburban passenger services in the UK.
-
C.
Y class
Y class is the standard economy fare class used by airlines, typically representing full-fare economy tickets with the least restrictions on changes and refunds.
-
D.
Classe
Classe is a historic coastal area near Ravenna in Italy, renowned for its early Christian monuments and archaeological remains.
-
E.
Class 150/2
Class 150/2 is a subclass of the British Rail Class 150 diesel multiple units, built for regional and commuter services on the UK rail network.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb197808c8190b1c80aeb2144a909 |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec25660dc8190a4444a1099e7e40c |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7cdcd988190bb6508838bea48de |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:20 p.m.