Triple
T20439185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ji-Paraná River |
E501336
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | city of Ji-Paraná |
—
|
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: city of Ji-Paraná | Statement: [Ji-Paraná River, namedAfter, city of Ji-Paraná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Ji-Paraná Context triple: [Ji-Paraná River, namedAfter, city of Ji-Paraná]
-
A.
city of Ji-Paraná
chosen
The city of Ji-Paraná is a major urban and economic center in the Brazilian state of Rondônia, known for its role in regional agriculture, cattle ranching, and Amazonian frontier development.
-
B.
Piriápolis
Piriápolis is a coastal resort city in southeastern Uruguay known for its beaches, historic hotels, and surrounding hills.
-
C.
Paraná city
Paraná city is the capital of Argentina’s Entre Ríos Province, located on the eastern bank of the Paraná River opposite Santa Fe.
-
D.
Planaltina
Planaltina is one of the administrative regions of Brazil’s Federal District, known for its historic town center and role as a residential area near Brasília.
-
E.
Kungur
Kungur is a historic Russian town in Perm Krai known for its ice cave, traditional trade heritage, and role as a regional cultural center.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f112e48190a3af818c0f6ee839 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.