Triple
T3741776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of San Antonio |
E79716
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
El Quisco
El Quisco is a coastal Chilean town and popular beach resort on the Pacific Ocean, known for its tourism and seaside attractions.
|
E385116
|
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: El Quisco | Statement: [Province of San Antonio, contains, El Quisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Quisco Context triple: [Province of San Antonio, contains, El Quisco]
-
A.
Quillacinga
Quillacinga are an Indigenous people of the Andean region in what is now southern Colombia, known historically for their distinct culture and resistance to Spanish colonization.
-
B.
Cauqui
Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
-
C.
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
-
D.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
E.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
- 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: El Quisco Triple: [Province of San Antonio, contains, El Quisco]
Generated description
El Quisco is a coastal Chilean town and popular beach resort on the Pacific Ocean, known for its tourism and seaside attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Quisco Target entity description: El Quisco is a coastal Chilean town and popular beach resort on the Pacific Ocean, known for its tourism and seaside attractions.
-
A.
Quillacinga
Quillacinga are an Indigenous people of the Andean region in what is now southern Colombia, known historically for their distinct culture and resistance to Spanish colonization.
-
B.
Cauqui
Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
-
C.
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
-
D.
Huambisa
Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
-
E.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb549490819084ebe69aae5ccf95 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db26adbc8190becd03db70e63112 |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4dc2c274c8190a7c8fa419186e188 |
completed | March 14, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e0065b008190b2ad78546e563b4d |
completed | March 14, 2026, 4:11 a.m. |
Created at: March 8, 2026, 3:34 p.m.