Triple
T16103022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miraflores district |
E390669
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lima Province |
E55697
|
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 Province | Statement: [Miraflores district, locatedIn, Lima Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima Province Context triple: [Miraflores district, locatedIn, Lima Province]
-
A.
Lima Province
chosen
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.
-
B.
Lima Region
Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
-
C.
Chiclayo Province
Chiclayo Province is an administrative division in the Lambayeque Region of northern Peru, known for its urban center, commercial activity, and proximity to important archaeological sites.
-
D.
Talara Province
Talara Province is a coastal administrative division in northwestern Peru known for its oil industry and fishing activities.
-
E.
Arequipa District
Arequipa District is the central urban district of the city of Arequipa in southern Peru, known for its historic colonial architecture and role as the region’s administrative and commercial hub.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6976ec8190b499e99b196b0285 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a2576c8190b5ad8cc7f9ced351 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5 a.m.