Triple
T18849172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belém (Lisbon) |
E460994
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Belém railway station |
—
|
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: Belém railway station | Statement: [Belém (Lisbon), contains, Belém railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belém railway station Context triple: [Belém (Lisbon), contains, Belém railway station]
-
A.
Belém railway station
chosen
Belém railway station is a suburban train station in Lisbon, Portugal, serving the historic Belém district along the Cascais Line.
-
B.
Campo Grande station
Campo Grande station is a major Lisbon Metro interchange and transport hub in northern Lisbon, serving both the Green and Yellow lines and connecting to several bus routes.
-
C.
Campo Belo station
Campo Belo station is an underground metro station in São Paulo, Brazil, serving the city’s Line 5–Lilac.
-
D.
Campo Limpo station
Campo Limpo station is a metro station on São Paulo’s Line 5–Lilac, serving the Campo Limpo district in the city’s south zone.
-
E.
São Sebastião station
São Sebastião station is a major Lisbon Metro interchange and terminal on the Red Line, serving the São Sebastião da Pedreira area near central Lisbon.
- 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.