Triple
T21213360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartaxo |
E522773
|
entity |
| Predicate | subregion |
P747
|
FINISHED |
| Object | Lezíria do Tejo |
—
|
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: Lezíria do Tejo | Statement: [Cartaxo, subregion, Lezíria do Tejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lezíria do Tejo Context triple: [Cartaxo, subregion, Lezíria do Tejo]
-
A.
Lezíria do Tejo
chosen
Lezíria do Tejo is a fertile agricultural subregion in central Portugal, known for its river plains along the Tagus and its traditional Ribatejo rural culture.
-
B.
Médio Tejo
Médio Tejo is an intermunicipal subregion in central Portugal that includes several municipalities such as Alcanena and is known for its mix of historical towns and natural landscapes.
-
C.
Vira do Minho
Vira do Minho is a lively traditional Portuguese folk dance from the Minho region, typically performed in circles or pairs to upbeat regional music.
-
D.
Médio Tejo subregion
The Médio Tejo subregion is a central Portuguese area along the Tagus River known for its historic towns, cultural heritage, and mixed rural-urban landscape.
-
E.
Alto Tâmega
Alto Tâmega is an inland subregion of northern Portugal known for its mountainous landscapes, thermal springs, and traditional rural communities.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347088488190aa764b3f4bbac44d |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:38 p.m.