Triple
T969428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RegioExpress |
E20911
|
entity |
| Predicate | languageVariant |
P5595
|
FINISHED |
| Object | RegioExpress (Italian) |
E20911
|
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: RegioExpress (Italian) | Statement: [RegioExpress, languageVariant, RegioExpress (Italian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RegioExpress (Italian) Context triple: [RegioExpress, languageVariant, RegioExpress (Italian)]
-
A.
RegioExpress
chosen
RegioExpress is a category of Swiss regional express trains that provide relatively fast, limited-stop connections between major and medium-sized towns.
-
B.
InterRegio
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.
-
C.
Thalys
Thalys is a high-speed international train service connecting major cities in France, Belgium, the Netherlands, and Germany.
-
D.
InterCity
InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
-
E.
Ouigo
Ouigo is a low-cost high-speed train service operated by France's SNCF, offering budget TGV travel with simplified onboard 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4481f508190adcf0a965a23862c |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd9705c8190adf1fb72188cc84e |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.