Triple
T11703245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra Gaúcha |
E278175
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Canela |
E839425
|
NE FINISHED |
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: Canela | Statement: [Serra Gaúcha, hasMajorTown, Canela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canela Context triple: [Serra Gaúcha, hasMajorTown, Canela]
-
A.
Canela
Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
-
B.
Canela
chosen
Canela is a popular mountain resort town in southern Brazil known for its cool climate, European-influenced architecture, and nearby natural attractions such as waterfalls and canyons.
-
C.
Argençola
Argençola is a small municipality in the comarca of Anoia in Catalonia, Spain, known for its rural landscape and historic village core.
-
D.
Canacona
Canacona is a coastal town in southern Goa, India, known for its scenic beaches, relaxed atmosphere, and popularity as a tourist destination.
-
E.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83525ae081909ee6f3fbb5d37dd7 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.