Triple
T18925882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqueduto das Águas Livres |
E462968
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Amoreiras |
—
|
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: Amoreiras | Statement: [Aqueduto das Águas Livres, passesThrough, Amoreiras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amoreiras Context triple: [Aqueduto das Águas Livres, passesThrough, Amoreiras]
-
A.
Amoreiras
chosen
Amoreiras is a central Lisbon district known for its prominent shopping center, office towers, and distinctive modern architecture.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
-
D.
Mosteiros
Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
-
E.
Mosteiros
Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.