Triple
T2429935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class 802 Nova 1 |
E52817
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | Nova 1 |
E51944
|
NE FINISHED |
How this triple was built (2 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 1 | Statement: [Class 802 Nova 1, brandName, Nova 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova 1 Context triple: [Class 802 Nova 1, brandName, Nova 1]
-
A.
Nova
chosen
Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
-
B.
Nova Descoberta
Nova Descoberta is a neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
-
C.
Novellae
Novellae are the later imperial constitutions of Emperor Justinian I that supplemented and updated his earlier codification of Roman law within the Corpus Juris Civilis.
-
D.
Novae
Novae was a major Roman military and urban center along the Danube frontier in the province of Moesia.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99fcd048190a85b95a9a8ae6d4d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf6634a48190af82eab6b9750323 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.