Triple
T21213344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartaxo |
E522773
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object | Cartaxo e Vale da Pinta |
—
|
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: Cartaxo e Vale da Pinta | Statement: [Cartaxo, hasCivilParish, Cartaxo e Vale da Pinta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cartaxo e Vale da Pinta Context triple: [Cartaxo, hasCivilParish, Cartaxo e Vale da Pinta]
-
A.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
-
B.
Cartaxo
chosen
Cartaxo is a Portuguese town in the Ribatejo region known historically for its wine production and agricultural surroundings.
-
C.
Guararema
Guararema is a Brazilian municipality in the state of São Paulo, known for its preserved historic center, riverside landscapes, and eco-tourism attractions.
-
D.
Caucaia
Caucaia is a coastal municipality in northeastern Brazil known for its beaches and proximity to the state capital, Fortaleza.
-
E.
Laranjal do Jari
Laranjal do Jari is a municipality in the southern part of the Brazilian state of Amapá, known for its location along the Jari River and its origins tied to large-scale forestry and industrial projects in the Amazon region.
- 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.