Triple
T5578261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cura Ocllo |
E146374
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Cusco |
E21511
|
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 | Statement: [Cura Ocllo, residence, Cusco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cusco Context triple: [Cura Ocllo, residence, Cusco]
-
A.
Cusco
chosen
Cusco is a historic city in southeastern Peru that served as the capital of the Inca Empire and is now a major gateway to Machu Picchu.
-
B.
Arequipa
Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
-
C.
Juliaca
Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
-
D.
Cajamarca
Cajamarca is a city in the northern highlands of Peru, historically renowned as the site where Spanish conquistador Francisco Pizarro captured the Inca emperor Atahualpa, marking a pivotal moment in the Spanish conquest of the Inca Empire.
-
E.
Abancay
Abancay is a city in the Andean highlands of Peru, serving as the capital of the Apurímac Region and known for its mild climate and surrounding mountainous landscapes.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206ae4808190971d89243db94475 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d26856c8190bdda69a049df1c10 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.