Triple
T13669181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maradana railway station |
E327703
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object | Mannar Line |
E1012537
|
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: Mannar Line | Statement: [Maradana railway station, railwayLine, Mannar Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mannar Line Context triple: [Maradana railway station, railwayLine, Mannar Line]
-
A.
Mannar Line
chosen
Mannar Line is a railway line in Sri Lanka that connects the mainland rail network to the Mannar region in the country’s northwest.
-
B.
Suigun Line
The Suigun Line is a regional railway line in eastern Japan that connects Mito in Ibaraki Prefecture with inland areas, providing local passenger rail services through rural communities.
-
C.
Ljabru Line
The Ljabru Line is a tram line in Oslo, Norway, forming part of the city’s light rail network and serving the southeastern district of Ljabru.
-
D.
Taita Line
The Taita Line is a regional railway line in Japan connecting Gifu and Tajimi, serving as a local commuter and intercity link in central Honshu.
-
E.
Tua Line
Tua Line is a scenic narrow-gauge railway in northeastern Portugal, known for running along the Tua River through rugged, picturesque landscapes.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0f56048190bcbc6581a8cdc0f5 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.