Triple
T13658769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maras District |
E326927
|
entity |
| Predicate | hasProvinceCapital |
P3433
|
FINISHED |
| Object | Urubamba |
E281312
|
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: Urubamba | Statement: [Maras District, hasProvinceCapital, Urubamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urubamba Context triple: [Maras District, hasProvinceCapital, Urubamba]
-
A.
Urubamba
chosen
Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
-
B.
Riobamba
Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
-
C.
Acomayo
Acomayo is a town in the Cusco Region of Peru that serves as an administrative and commercial center for the surrounding rural province.
-
D.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
E.
Huamachuco
Huamachuco is a town in northern Peru’s La Libertad region, known for its nearby pre-Inca archaeological sites and Andean highland setting.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61f0d808190b1cd2a6ba0d930eb |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794395618819094a7f0ffcf5d3fb6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:52 p.m.