Triple
T6984112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurashiki |
E161918
|
entity |
| Predicate | sisterCity |
P1072
|
FINISHED |
| Object | Petrópolis |
E248751
|
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: Petrópolis | Statement: [Kurashiki, sisterCity, Petrópolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petrópolis Context triple: [Kurashiki, sisterCity, Petrópolis]
-
A.
Petrópolis
chosen
Petrópolis is a historic mountain city in Brazil known as the former summer residence of the Brazilian imperial family and for its well-preserved 19th-century architecture.
-
B.
Niterói
Niterói is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches, views of Rio across the bay, and iconic modernist architecture by Oscar Niemeyer.
-
C.
Resende
Resende is a Portuguese municipality in the Douro region, known for its scenic river landscapes and production of cherries and vinho verde.
-
D.
São Gonçalo
São Gonçalo is a large municipality in the state of Rio de Janeiro, Brazil, forming part of the metropolitan area of Rio de Janeiro and known for its dense urban character and industrial activity.
-
E.
Macaé
Macaé is a coastal city in southeastern Brazil known for its offshore oil industry and role as a major hub for petroleum exploration.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db90e9108190a7aedeef1fb17eb4 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78839d37c8190a127c01e2aeb71ee |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:31 p.m.