Triple
T15832631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workers' Party |
E383907
|
entity |
| Predicate | notableGovernmentProgram |
P4146
|
FINISHED |
| Object | Fome Zero |
E873432
|
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: Fome Zero | Statement: [Workers' Party, notableGovernmentProgram, Fome Zero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fome Zero Context triple: [Workers' Party, notableGovernmentProgram, Fome Zero]
-
A.
Fome Zero
chosen
Fome Zero is a Brazilian government initiative aimed at eradicating hunger and extreme poverty through a combination of social welfare, food security, and income redistribution programs.
-
B.
Bom Sucesso
Bom Sucesso is a civil parish within the coastal municipality of Figueira da Foz in central Portugal, known for its rural character and proximity to the Atlantic shoreline.
-
C.
Feijão de Corda
Feijão de Corda is a song by Brazilian singer Daniela Mercury, known for blending Afro-Brazilian rhythms with energetic pop and axé music.
-
D.
Cravinhos
Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
-
E.
Brigadeiro
Brigadeiro is an underground metro station on Line 2 (Green) of the São Paulo Metro, serving the busy Avenida Paulista area.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e0e1cc8190851b30b03cf9c9b8 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99a0e62081909d02f87972490eef |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.