Triple
T6093471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern |
E135821
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Govia |
E549600
|
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: Govia | Statement: [Southern, parentCompany, Govia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Govia Context triple: [Southern, parentCompany, Govia]
-
A.
Govia
chosen
Govia is a major British train operating company formed as a joint venture between the Go-Ahead Group and Keolis, running several rail franchises in the United Kingdom.
-
B.
Abellio
Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
-
C.
Keolis
Keolis is a major French public transport operator that manages and operates bus, tram, metro, and rail networks in numerous cities worldwide.
-
D.
Systra
Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
-
E.
Arriva
Arriva is a major European public transport company that operates bus, coach, train, tram, and waterbus services across multiple countries.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ac8c7481909fb22cf157be45ce |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125365a7481909e40d01c2d3590aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.