Triple
T6238945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penedo |
E139547
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | state of Alagoas |
E26260
|
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 Alagoas | Statement: [Penedo, partOf, state of Alagoas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: state of Alagoas Context triple: [Penedo, partOf, state of Alagoas]
-
A.
Alagoas
chosen
Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
-
B.
State of Maranhão
The State of Maranhão was a colonial administrative division of the Portuguese Empire in South America, encompassing parts of what is now northern Brazil.
-
C.
Agreste region of Alagoas
The Agreste region of Alagoas is a semi-arid transitional zone in the Brazilian state of Alagoas, characterized by mixed agricultural activity and medium-sized inland towns such as Palmeira dos Índios.
-
D.
Sergipe
Sergipe is a small coastal state in northeastern Brazil known for its Atlantic shoreline, colonial history, and role in the broader Dutch and Portuguese colonial era.
-
E.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5190e0a6481909e5372334a851770 |
completed | March 26, 2026, 11:31 a.m. |
Created at: March 22, 2026, 4:23 p.m.