Triple
T15257995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenitalia |
E364696
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Thello |
E756276
|
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: Thello | Statement: [Trenitalia, brand, Thello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thello Context triple: [Trenitalia, brand, Thello]
-
A.
Thello
chosen
Thello is an Italian-French train operator known for running cross-border passenger services between France and Italy.
-
B.
Tanto
Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
-
C.
Ilmandu
Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
-
D.
Thel
Thel is a shortened given name or nickname derived from the name Thelma.
-
E.
Palladino
Palladino is a surname most notably associated with Pino Palladino, the acclaimed Welsh session bassist known for his work with artists like The Who, John Mayer, and D'Angelo.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084d11148190919eef8e55569bb9 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f9a0708190bc429692788a63d7 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.