Triple
T6621190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Libertad Region |
E149676
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | northwestern Peru |
E116541
|
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: northwestern Peru | Statement: [La Libertad Region, locatedIn, northwestern Peru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: northwestern Peru Context triple: [La Libertad Region, locatedIn, northwestern Peru]
-
A.
northern Peru
chosen
Northern Peru is a geographic region of Peru known for its Andean highlands, rich pre-Columbian archaeological sites, and diverse coastal and jungle landscapes.
-
B.
southeastern Peru
Southeastern Peru is a region of the country that includes the historic Andean area around Cusco and extends toward the Amazon Basin.
-
C.
eastern Peru
Eastern Peru is a remote, sparsely populated region dominated by Amazon rainforest, extensive river systems, and rich biodiversity.
-
D.
central Peru
Central Peru is a region of the country encompassing parts of the Andean highlands and adjacent coastal and jungle areas, known for its diverse geography, agriculture, and mining activities.
-
E.
Southern Peru
Southern Peru is a geographic region of Peru known for its Andean highlands, volcanic landscapes, and major cities such as Arequipa and Cusco.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe2bcfc8190a3224c688443edc9 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.