Triple
T11943591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pisco |
E284238
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ica Region |
E62797
|
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: Ica Region | Statement: [Pisco, locatedIn, Ica Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ica Region Context triple: [Pisco, locatedIn, Ica Region]
-
A.
Ica Region
chosen
The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
-
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.
Piura Region
Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
-
D.
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.
-
E.
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.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9034444488190925a6fa6c856ed08 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63edbcd288190b491a16f2bf8fc62 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:45 p.m.