Triple
T4126504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima Cathedral |
E92737
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lima Region |
E14664
|
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: Lima Region | Statement: [Lima Cathedral, region, Lima Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima Region Context triple: [Lima Cathedral, region, Lima Region]
-
A.
Lima Region
chosen
Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
-
B.
Lima Province
Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
-
C.
Cajamarca Region
Cajamarca Region is an administrative region in northern Peru known for its Andean highlands, rich colonial and pre-Columbian history, and significant mining and agricultural activities.
-
D.
Moquegua Region
Moquegua Region is a sparsely populated region in southern Peru known for its volcanic landscapes, including the active Ubinas volcano, as well as its mining activities and agricultural production.
-
E.
Piura Region
Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0219f0e48190b0a925f09d858d65 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4073aa88190ba64691b93aab900 |
completed | March 20, 2026, 7:46 p.m. |
Created at: March 9, 2026, 3:41 p.m.