Triple
T6070533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combarbalite |
E135268
|
entity |
| Predicate | minedIn |
P40
|
FINISHED |
| Object | Combarbalá |
E25190
|
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: Combarbalá | Statement: [Combarbalite, minedIn, Combarbalá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Combarbalá Context triple: [Combarbalite, minedIn, Combarbalá]
-
A.
Combarbalá
chosen
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
B.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
C.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
D.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
E.
Barajagua
Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05742867481908e3f45c875807c73 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1357be6fc819092845e1ffe988c16 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:10 p.m.