Triple
T17443357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanhã railway station |
E424713
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | CP Campanhã |
—
|
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: CP Campanhã | Statement: [Campanhã railway station, hasStationCode, CP Campanhã]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CP Campanhã Context triple: [Campanhã railway station, hasStationCode, CP Campanhã]
-
A.
Campanhã
chosen
Campanhã is a parish and district in the eastern part of Porto, Portugal, known as a major transport hub and gateway to the city.
-
B.
Gafanha do Carmo
Gafanha do Carmo is a civil parish in the municipality of Ílhavo, in Portugal’s Aveiro District, known for its proximity to the Ria de Aveiro lagoon.
-
C.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
D.
Vila Franca do Campo
Vila Franca do Campo is a coastal town and municipality in the Azores archipelago of Portugal, known for its historic center and nearby islet popular for swimming and diving.
-
E.
Cortelha
Cortelha is a small rural village in the hills of the Algarve region in southern Portugal, known for its traditional festivals and scenic surroundings.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.