Triple
T1177850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic Time Zone |
E25068
|
entity |
| Predicate | isUsedInState |
P908
|
FINISHED |
| Object |
Amapá
Amapá is a sparsely populated state in northern Brazil, located in the Amazon region along the Atlantic coast and bordering French Guiana.
|
E171661
|
NE FINISHED |
How this triple was built (4 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: Amapá | Statement: [Atlantic Time Zone, isUsedInState, Amapá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amapá Context triple: [Atlantic Time Zone, isUsedInState, Amapá]
-
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.
Alagoas
Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
-
C.
Piauí
Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
-
D.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amapá Triple: [Atlantic Time Zone, isUsedInState, Amapá]
Generated description
Amapá is a sparsely populated state in northern Brazil, located in the Amazon region along the Atlantic coast and bordering French Guiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amapá Target entity description: Amapá is a sparsely populated state in northern Brazil, located in the Amazon region along the Atlantic coast and bordering French Guiana.
-
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.
Alagoas
Alagoas is a small coastal state in northeastern Brazil known for its picturesque beaches, lagoons, and colonial-era history.
-
C.
Piauí
Piauí is a state in northeastern Brazil known for its semi-arid landscapes, short Atlantic coastline, and rich archaeological sites such as those in Serra da Capivara National Park.
-
D.
Bahia
Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bf15423481909cb3e661e58d3d94 |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad231945048190be6536b4a71334aa |
completed | March 8, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69ad23cbe87c81909b745ecaadf77bce |
completed | March 8, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad24224af08190a1a03c0f1d363ce0 |
completed | March 8, 2026, 7:24 a.m. |
Created at: March 1, 2026, 7:45 p.m.