Triple
T17686893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gribskov Line |
E440915
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Lokaltog |
—
|
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: Lokaltog | Statement: [Gribskov Line, operator, Lokaltog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lokaltog Context triple: [Gribskov Line, operator, Lokaltog]
-
A.
Lokaltog
chosen
Lokaltog is a Danish regional railway company that operates local train services on several lines in the Zealand area of Denmark.
-
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.
Interregio-Express
Interregio-Express is a category of German regional express trains that provide faster, limited-stop connections between cities and regions.
-
D.
Mälartåg
Mälartåg is a regional train operator in Sweden that provides passenger rail services across the Mälardalen region, including connections via Arlanda Central Station.
-
E.
Anhalter Bahn
Anhalter Bahn is a historic German railway line that once connected Berlin with central and southern Germany, playing a major role in long-distance passenger traffic before World War II.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470488c4081909b747313ef97b69c |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.