Triple
T21881945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abrantes railway station |
E540307
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object | Linha do Leste |
—
|
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 do Leste | Statement: [Abrantes railway station, railwayLine, Linha do Leste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linha do Leste Context triple: [Abrantes railway station, railwayLine, Linha do Leste]
-
A.
Linha do Leste
chosen
Linha do Leste is a historic Portuguese railway line in eastern Portugal that connects the country to the Spanish rail network.
-
B.
Linha do Oeste
Linha do Oeste is a major Portuguese railway line running along the country’s western coast, connecting Lisbon’s outskirts with several central-western cities and towns.
-
C.
Linha do Sul
Linha do Sul is a major Portuguese railway line that connects Lisbon to the southern Algarve region, serving as a key route for both passenger and freight transport.
-
D.
Butovskaya Line
The Butovskaya Line is a light metro line in the Moscow Metro system serving the Butovo district in the city’s south.
-
E.
Périphérique Est
Périphérique Est is the eastern section of Paris’s ring road that helps route traffic around the city rather than through its center.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e890088190aa3023c78a99a536 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:04 p.m.