Triple
T20027114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carazo |
E495012
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Santa Teresa |
—
|
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 Teresa | Statement: [Carazo, hasCity, Santa Teresa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Teresa Context triple: [Carazo, hasCity, Santa Teresa]
-
A.
Santa Teresa
Santa Teresa is a historic, bohemian hilltop neighborhood in Rio de Janeiro known for its winding streets, colonial mansions, and vibrant arts scene.
-
B.
Santa Teresa
chosen
Santa Teresa is a small, historically Italian-immigrant town in southeastern Brazil known for its cool mountain climate, colonial architecture, and ecotourism.
-
C.
Santa Tereza
Santa Tereza is a small wine-producing town in Brazil’s Serra Gaúcha region, known for its Italian heritage and scenic mountain landscapes.
-
D.
Santa Teresa Cora
Santa Teresa Cora is a regional dialect of the Cora language spoken by the indigenous Cora people of western Mexico.
-
E.
Santa Teresa del Tuy
Santa Teresa del Tuy is a principal urban center in the Valles del Tuy region of Miranda state, Venezuela, known for its role as a local commercial and transportation hub.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628e1eec81908e4c9b2b0b68f0e4 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.