Triple
T15575752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Lima |
E374364
|
entity |
| Predicate | borderingEntity |
P224
|
FINISHED |
| Object | Sabará |
E715960
|
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: Sabará | Statement: [Nova Lima, borderingEntity, Sabará]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabará Context triple: [Nova Lima, borderingEntity, Sabará]
-
A.
Sabará
chosen
Sabará is a historic colonial-era city in southeastern Brazil known for its well-preserved baroque architecture and gold-mining heritage.
-
B.
Sabara
Sabara is a surname most notably associated with American actor Daryl Sabara, known for his role in the "Spy Kids" film series.
-
C.
Túcume
Túcume is a large pre-Columbian archaeological complex in northern Peru, renowned for its numerous adobe pyramids and its importance within the Lambayeque (Sicán) culture.
-
D.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
E.
Caxarias
Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f30e48881908b30a71796fe0d72 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:10 a.m.