Triple
T18849951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha do Norte |
E461012
|
entity |
| Predicate | connectsToLine |
P35490
|
FINISHED |
| Object | Linha de Cascais |
—
|
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: Linha de Cascais | Statement: [Linha do Norte, connectsToLine, Linha de Cascais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linha de Cascais Context triple: [Linha do Norte, connectsToLine, Linha de Cascais]
-
A.
Linha de Cascais
chosen
Linha de Cascais is a coastal suburban railway line in the Lisbon metropolitan area of Portugal, connecting central Lisbon to the seaside town of Cascais.
-
B.
Linha de Aveiro
Linha de Aveiro is a suburban railway line in northern Portugal that connects Porto with the coastal city of Aveiro as part of the Porto urban rail network.
-
C.
Linha de Setúbal
Linha de Setúbal is a Portuguese railway line serving the Setúbal region, connecting it to the national rail network.
-
D.
Linha de Leixões
Linha de Leixões is a freight-focused railway line in the Porto metropolitan area of Portugal, connecting the Port of Leixões with the national rail network.
-
E.
Linha de Guimarães
Linha de Guimarães is a railway line in northern Portugal that connects Porto to the city of Guimarães, serving as an important regional passenger route.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f1abdc819081638ed384da191e |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.