Triple
T22779954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona da Mata Paraibana |
E563807
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Santa Rita |
—
|
NE NERFINISHED |
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: Santa Rita | Statement: [Zona da Mata Paraibana, contains, Santa Rita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Rita Context triple: [Zona da Mata Paraibana, contains, Santa Rita]
-
A.
Santa Rita
Santa Rita is a municipality in the province of Pampanga in the Philippines, known for its agricultural products and traditional local festivals.
-
B.
Santa Rita
Santa Rita is a residential district in the city of Turin, Italy, known for its urban character and proximity to major sports and public facilities.
-
C.
Santa Rita
Santa Rita is a municipality and town located in the Cortés Department of northwestern Honduras.
-
D.
Santa Rita
chosen
Santa Rita is a municipality in the Brazilian state of Paraíba, known for its proximity to the state capital João Pessoa and its role in the region’s industrial and economic activities.
-
E.
Santa Rita
Santa Rita is a village in Guam known for its proximity to U.S. military installations and its location along the island’s western coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.