Triple
T18848109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transtejo & Soflusa |
E460969
|
entity |
| Predicate | usesTerminal |
P24773
|
FINISHED |
| Object | Belém ferry terminal |
—
|
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 ferry terminal | Statement: [Transtejo & Soflusa, usesTerminal, Belém ferry terminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belém ferry terminal Context triple: [Transtejo & Soflusa, usesTerminal, Belém ferry terminal]
-
A.
Port of Belém
The Port of Belém is a major Brazilian river-sea port in the Amazon region, serving as a key hub for regional trade and passenger transport near the mouth of the Amazon River.
-
B.
Belém riverside
chosen
Belém riverside is a scenic waterfront area in Lisbon’s Belém district, known for its historic monuments, museums, and views along the Tagus River.
-
C.
Port of Santarém
The Port of Santarém is a Brazilian river port on the Amazon that serves as a key regional hub for cargo transport and trade in the state of Pará.
-
D.
Ceiba ferry terminal
Ceiba ferry terminal is a major passenger and vehicle ferry port on Puerto Rico’s east coast that serves as a gateway to the islands of Culebra and Vieques.
-
E.
Pirajá
Pirajá is a neighborhood in Salvador, Bahia, Brazil, historically notable as a key site in Brazil’s struggle for independence.
- 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_69e5b8f079b881908759135c5e2619ee |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.