Triple
T18848096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transtejo & Soflusa |
E460969
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Cacilhas |
—
|
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: Cacilhas | Statement: [Transtejo & Soflusa, connects, Cacilhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cacilhas Context triple: [Transtejo & Soflusa, connects, Cacilhas]
-
A.
Cacilhas
chosen
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
B.
Celorico de Basto
Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
-
C.
Melgaço
Melgaço is a historic town and municipality in Portugal’s far north, known for its scenic Minho River landscapes, Alvarinho wine, and well-preserved medieval castle.
-
D.
Paderne
Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
-
E.
Pedrógão Grande
Pedrógão Grande is a small municipality in central Portugal known for its forested landscapes and the devastating 2017 wildfires that caused significant loss of life and damage.
- 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.