Triple
T3376370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese America |
E71074
|
entity |
| Predicate | includedTerritory |
P285
|
FINISHED |
| Object | State of Grão-Pará |
E169954
|
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: State of Grão-Pará | Statement: [Portuguese America, includedTerritory, State of Grão-Pará]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State of Grão-Pará Context triple: [Portuguese America, includedTerritory, State of Grão-Pará]
-
A.
União dos Palmares
União dos Palmares is a historic Brazilian city best known as the region of the former Quilombo dos Palmares, a major community of escaped enslaved people and a symbol of Black resistance.
-
B.
Bahia
Bahia is a large and culturally rich state in northeastern Brazil, known for its Afro-Brazilian heritage, historic city of Salvador, and extensive Atlantic coastline.
-
C.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
D.
Pará
chosen
Pará is a large state in northern Brazil known for its Amazon rainforest, rich biodiversity, and the major port city of Belém.
-
E.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e776508190bc123fb17b36f062 |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334465b50819080c6f23eaa6583be |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.