Triple
T14288047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piura Region |
E354229
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Huancabamba
Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
|
E1091900
|
NE FINISHED |
How this triple was built (4 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: Huancabamba | Statement: [Piura Region, hasCity, Huancabamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huancabamba Context triple: [Piura Region, hasCity, Huancabamba]
-
A.
Quillabamba
Quillabamba is a tropical city in southern Peru known for its coffee, cacao, and fruit production in the Cusco region.
-
B.
Cajatambo
Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
-
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.
Riobamba
Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
-
E.
Quillagua
Quillagua is a small oasis settlement in Chile’s Atacama Desert, often cited as one of the driest inhabited places on Earth.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Huancabamba Triple: [Piura Region, hasCity, Huancabamba]
Generated description
Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huancabamba Target entity description: Huancabamba is a highland town in northern Peru known for its Andean culture, traditional agriculture, and proximity to the Huancabamba Depression.
-
A.
Quillabamba
Quillabamba is a tropical city in southern Peru known for its coffee, cacao, and fruit production in the Cusco region.
-
B.
Cajatambo
Cajatambo is a small Andean town in central Peru known for its colonial-era architecture, highland landscapes, and traditional Quechua-influenced culture.
-
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.
Riobamba
Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
-
E.
Quillagua
Quillagua is a small oasis settlement in Chile’s Atacama Desert, often cited as one of the driest inhabited places on Earth.
- F. None of above. chosen
Provenance (5 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1e14d4819091c381f96c43c58b |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e6dde6081908a37817e4dd22ecd |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f42ccdc81908399d8f9a2f0da31 |
completed | May 8, 2026, 1:41 a.m. |
Created at: April 10, 2026, 1:11 a.m.