Triple
T15064901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yumani |
E379730
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Copacabana, Bolivia
Copacabana, Bolivia is a town on the shores of Lake Titicaca known as a major religious pilgrimage site and gateway to the Isla del Sol.
|
E1135103
|
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: Copacabana, Bolivia | Statement: [Yumani, near, Copacabana, Bolivia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copacabana, Bolivia Context triple: [Yumani, near, Copacabana, Bolivia]
-
A.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
B.
Moxos
Moxos is a historical region in the Bolivian lowlands, known for its indigenous cultures, extensive pre-Columbian earthworks, and rich Amazonian wetlands.
-
C.
Zona Sur of La Paz
Zona Sur of La Paz is the affluent, lower-altitude southern district of Bolivia’s administrative capital, known for its milder climate, upscale residential areas, and commercial centers.
-
D.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
E.
Lumbaquí
Lumbaquí is a small town in northeastern Ecuador that serves as a local hub within the Amazonian Sucumbíos Province.
- 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: Copacabana, Bolivia Triple: [Yumani, near, Copacabana, Bolivia]
Generated description
Copacabana, Bolivia is a town on the shores of Lake Titicaca known as a major religious pilgrimage site and gateway to the Isla del Sol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Copacabana, Bolivia Target entity description: Copacabana, Bolivia is a town on the shores of Lake Titicaca known as a major religious pilgrimage site and gateway to the Isla del Sol.
-
A.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
B.
Moxos
Moxos is a historical region in the Bolivian lowlands, known for its indigenous cultures, extensive pre-Columbian earthworks, and rich Amazonian wetlands.
-
C.
Zona Sur of La Paz
Zona Sur of La Paz is the affluent, lower-altitude southern district of Bolivia’s administrative capital, known for its milder climate, upscale residential areas, and commercial centers.
-
D.
Rurrenabaque
Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
-
E.
Lumbaquí
Lumbaquí is a small town in northeastern Ecuador that serves as a local hub within the Amazonian Sucumbíos Province.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea74447d481908b290d6be0f0898e |
completed | May 9, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea81b77708190b0aafcb504dc72d1 |
completed | May 9, 2026, 3:20 a.m. |
Created at: April 10, 2026, 3:02 a.m.