Triple
T11273524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colca Canyon |
E266871
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chivay |
E518200
|
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: Chivay | Statement: [Colca Canyon, near, Chivay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chivay Context triple: [Colca Canyon, near, Chivay]
-
A.
Chivay
chosen
Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
-
B.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
-
C.
Chimbote
Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
-
D.
Huancayo
Huancayo is a major city in the central highlands of Peru, known as a commercial and cultural hub of the Mantaro Valley.
-
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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a0edcd081908547745d16d643ab |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:31 p.m.