Triple
T1260039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantanal |
E12476
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Mato Grosso |
E74770
|
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: Mato Grosso | Statement: [Pantanal, countrySubdivision, Mato Grosso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mato Grosso Context triple: [Pantanal, countrySubdivision, Mato Grosso]
-
A.
Pará
Pará is a large state in northern Brazil known for its Amazon rainforest, rich biodiversity, and the major port city of Belém.
-
B.
Mato Grosso do Sul
Mato Grosso do Sul is a landlocked state in Brazil’s Center-West region, known for its vast Pantanal wetlands, rich biodiversity, and cattle ranching economy.
-
C.
Mato Grosso region of Brazil
chosen
The Mato Grosso region of Brazil is a vast, sparsely populated area in west-central Brazil known for its dense rainforests, remote wilderness, and role as a historic frontier for explorers and adventurers.
-
D.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
E.
Cuiabá
Cuiabá is the capital city of Brazil’s Mato Grosso state and a primary urban hub and access point for exploring the Pantanal wetlands.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc503e88190b237210a61228dd8 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67f9b0dc8190a5b38450c227eac5 |
completed | March 8, 2026, 12:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.