Triple
T12007206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Série 4000 |
E285810
|
entity |
| Predicate | primaryRoute |
P6298
|
FINISHED |
| Object | Lisbon–Porto |
E960381
|
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: Lisbon–Porto | Statement: [Série 4000, primaryRoute, Lisbon–Porto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisbon–Porto Context triple: [Série 4000, primaryRoute, Lisbon–Porto]
-
A.
Lisbon–Porto
chosen
Lisbon–Porto is the main intercity rail corridor in Portugal, linking the capital Lisbon with the northern city of Porto.
-
B.
Lisbon–Guimarães
Lisbon–Guimarães is a major intercity rail route in Portugal connecting the capital Lisbon with the historic northern city of Guimarães.
-
C.
Lisbon–Faro
Lisbon–Faro is a major intercity rail corridor in Portugal linking the capital Lisbon with the southern coastal city of Faro in the Algarve region.
-
D.
Porto
Porto is Portugal’s second-largest city, renowned for its historic riverside district, rich maritime heritage, and production of port wine.
-
E.
Porto
Porto is a small coastal town in western Corsica, France, known as the main gateway to the scenic Gulf of Porto and its surrounding natural reserves and rock formations.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3af3cc8190b2a0e3531713aca5 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:46 p.m.