Triple
T22069886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm commuter rail line 43X |
E545376
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | MTR Pendeltågen |
—
|
NE NERFINISHED |
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: MTR Pendeltågen | Statement: [Stockholm commuter rail line 43X, operatedBy, MTR Pendeltågen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTR Pendeltågen Context triple: [Stockholm commuter rail line 43X, operatedBy, MTR Pendeltågen]
-
A.
MTR Nordic
chosen
MTR Nordic is a Swedish public transport company that operates and manages rail and metro services, including the Stockholm metro, as part of the global MTR Corporation group.
-
B.
MTR
MTR is the station code for Matara railway station, a key terminus on Sri Lanka’s coastal railway line.
-
C.
MTR Airport Express
MTR Airport Express is a high-speed rail service in Hong Kong that links Hong Kong International Airport with the city’s urban rail network.
-
D.
Pendeltåg
Pendeltåg is Stockholm's commuter rail system, connecting the city with its surrounding suburbs and regional towns.
-
E.
MTR urban lines
MTR urban lines are a network of rapid transit railway services forming the core of Hong Kong’s mass transit system, particularly serving dense urban areas such as Kowloon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288724e881908b38fe7e56d3b448 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.