Triple
T7949413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malpensa Express |
E184576
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Trenord |
E364507
|
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: Trenord | Statement: [Malpensa Express, operator, Trenord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trenord Context triple: [Malpensa Express, operator, Trenord]
-
A.
Trenord
chosen
Trenord is a regional railway company operating passenger train services across Lombardy in northern Italy.
-
B.
South Shore Line
The South Shore Line is an electric commuter rail service connecting Chicago with communities in northern Indiana, including Gary.
-
C.
North Shore Line
North Shore Line was an interurban electric railway that operated between Chicago and Milwaukee, known for its high-speed service and distinctive green-and-cream trains.
-
D.
Amtrak
Amtrak is the United States’ national passenger railroad service, operating intercity and long-distance trains across much of the country.
-
E.
Metra
Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe03c7d308190aec1172415be995c |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:10 p.m.