Triple
T478835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machu Picchu |
E9121
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cusco Region |
E56219
|
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: Cusco Region | Statement: [Machu Picchu, locatedIn, Cusco Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cusco Region Context triple: [Machu Picchu, locatedIn, Cusco Region]
-
A.
Cusco Region
chosen
Cusco Region is a department in southeastern Peru known as the historic heartland of the Inca Empire and home to major archaeological sites including Machu Picchu and the Sacred Valley.
-
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.
Puno Region
Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
-
D.
Tarapacá Region
Tarapacá Region is an administrative region in northern Chile known for its desert landscapes, mining industry, and the port city of Iquique.
-
E.
Loreto Region of Peru
The Loreto Region of Peru is a vast, sparsely populated area in the northern Amazon rainforest known for its rich indigenous cultures, extensive river systems, and biodiverse jungle environment.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47d28632c819081dcf47c7c68451f |
completed | March 1, 2026, 5:53 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.