Triple
T20827823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Hyacinth |
E512750
|
entity |
| Predicate | inspiredToponym |
P14480
|
FINISHED |
| Object |
San Jacinto, Bolivia
San Jacinto, Bolivia is a locality in Bolivia whose name honors Saint Hyacinth, reflecting the country’s Catholic and Spanish colonial heritage.
|
E1452462
|
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: San Jacinto, Bolivia | Statement: [Saint Hyacinth, inspiredToponym, San Jacinto, Bolivia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Jacinto, Bolivia Context triple: [Saint Hyacinth, inspiredToponym, San Jacinto, Bolivia]
-
A.
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.
-
B.
Chavasqueira
Chavasqueira is a well-known thermal bath area in Ourense, Spain, famous for its natural hot springs and riverside spa pools.
-
C.
San Simón
San Simón is a small municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
-
D.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
E.
Capiatá
Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
- 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: San Jacinto, Bolivia Triple: [Saint Hyacinth, inspiredToponym, San Jacinto, Bolivia]
Generated description
San Jacinto, Bolivia is a locality in Bolivia whose name honors Saint Hyacinth, reflecting the country’s Catholic and Spanish colonial heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Jacinto, Bolivia Target entity description: San Jacinto, Bolivia is a locality in Bolivia whose name honors Saint Hyacinth, reflecting the country’s Catholic and Spanish colonial heritage.
-
A.
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.
-
B.
Chavasqueira
Chavasqueira is a well-known thermal bath area in Ourense, Spain, famous for its natural hot springs and riverside spa pools.
-
C.
San Simón
San Simón is a small municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
-
D.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
E.
Capiatá
Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c31e387481909fcf323f97019803 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09007dd6a08190a00a462f9aecfc48 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0901bb9cf481908e9b631477b1c16d |
completed | May 16, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09023cf27081908eb246367215ae12 |
completed | May 16, 2026, 11:48 p.m. |
Created at: April 16, 2026, 12:42 p.m.