Triple
T12460760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gaw Meem |
E297784
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Pelotas, Brazil |
E656524
|
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: Pelotas, Brazil | Statement: [John Gaw Meem, placeOfBirth, Pelotas, Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelotas, Brazil Context triple: [John Gaw Meem, placeOfBirth, Pelotas, Brazil]
-
A.
Pelotas
chosen
Pelotas is a historic city in southern Brazil known for its colonial architecture, cultural festivals, and traditional sweets industry.
-
B.
Bento Gonçalves, Brazil
Bento Gonçalves is a city in Brazil’s southern state of Rio Grande do Sul, known for its Italian heritage and as a major center of the country’s wine production.
-
C.
Santos city
Santos city is a coastal municipality in the state of São Paulo, Brazil, best known for its major port and its historic football club Santos FC.
-
D.
Canoas
Canoas is a major industrial and residential city in the Porto Alegre metropolitan region of Rio Grande do Sul, Brazil.
-
E.
Jaraguá do Sul
Jaraguá do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage and industrial economy.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db465c48190bcfaf22f25ef8947 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1d4f248190a0805e17da42eaf7 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.