Triple
T18986157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oriente station |
E464563
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Linha de Sintra |
—
|
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 Sintra | Statement: [Oriente station, partOf, Linha de Sintra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linha de Sintra Context triple: [Oriente station, partOf, Linha de Sintra]
-
A.
Linha de Sintra
chosen
Linha de Sintra is a heavily used suburban railway line serving commuter traffic between Lisbon and the Sintra region in Portugal.
-
B.
Linha de Cascais
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.
-
C.
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.
-
D.
Linha de Azambuja
Linha de Azambuja is a suburban railway line in the Lisbon metropolitan area that connects the capital to the town of Azambuja and serves as a key commuter corridor.
-
E.
Linha de Setúbal
Linha de Setúbal is a Portuguese railway line serving the Setúbal region, connecting it to the national rail network.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65f7f08819088f56e8e030851b1 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.