Triple
T5001181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFF |
E112374
|
entity |
| Predicate | operatesService |
P5884
|
FINISHED |
| Object | InterRegio (IR) |
E114951
|
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: InterRegio (IR) | Statement: [CFF, operatesService, InterRegio (IR)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InterRegio (IR) Context triple: [CFF, operatesService, InterRegio (IR)]
-
A.
InterRegio
chosen
InterRegio is a category of medium- to long-distance passenger trains in several European countries that provides relatively fast regional connections between major cities and regions.
-
B.
RegioExpress
RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
-
C.
Arvato
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
-
D.
PKP Intercity
PKP Intercity is Poland’s primary long-distance passenger rail operator, running intercity and international train services across the country and beyond.
-
E.
Trenitalia
Trenitalia is Italy’s primary national railway operator, running most of the country’s passenger and regional train 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72bf0de08190a07419514afc3a06 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92598ff88190b63a589524180272 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:34 p.m.