Triple
T6008445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mato Grosso do Sul |
E133771
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Corumbá |
E137038
|
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: Corumbá | Statement: [Mato Grosso do Sul, hasCity, Corumbá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corumbá Context triple: [Mato Grosso do Sul, hasCity, Corumbá]
-
A.
Corumbá
chosen
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
B.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
C.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
D.
Itapira
Itapira is a municipality in southeastern Brazil known for its agricultural activities and location within the interior of the state of São Paulo.
-
E.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f154ca481909431baf4feecc16d |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1089bd870819096c0f6c7cf484c50 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.