Triple
T15554683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goiás |
E370836
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object | Goiás (city) |
E1169219
|
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: Goiás (city) | Statement: [Goiás, historicalCapital, Goiás (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goiás (city) Context triple: [Goiás, historicalCapital, Goiás (city)]
-
A.
Goiás (city)
chosen
Goiás (city) is a historic colonial town in central Brazil, renowned for its well-preserved architecture and status as a UNESCO World Heritage Site.
-
B.
Goiânia
Goiânia is the capital and largest city of the Brazilian state of Goiás, known as a major regional center for agriculture, industry, and services in central Brazil.
-
C.
Aparecida de Goiânia
Aparecida de Goiânia is a major city in central Brazil, forming part of the metropolitan area of Goiânia in the state of Goiás.
-
D.
Garça
Garça is the Portuguese term for a heron, a long-legged wading bird commonly found near wetlands and waterways.
-
E.
Guarulhos
Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec93ac48190b2548a61797480cc |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:09 a.m.