Triple
T1281428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Hurtado |
E27334
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
|
E162491
|
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 Chañar | Statement: [Río Hurtado, hasSettlement, El Chañar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Chañar Context triple: [Río Hurtado, hasSettlement, El Chañar]
-
A.
Río Bueno
Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
-
B.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
C.
Chañaral
Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
-
D.
Río Negro
Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
-
E.
Jiquiá
Jiquiá is a neighborhood in the city of Recife, Brazil, known for its residential character and urban infrastructure.
- 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 Chañar Triple: [Río Hurtado, hasSettlement, El Chañar]
Generated description
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Chañar Target entity description: El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
-
A.
Río Bueno
Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
-
B.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
C.
Chañaral
Chañaral is a coastal city in northern Chile known historically for its mining activity and its location along the Atacama Desert shoreline.
-
D.
Río Negro
Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
-
E.
Jiquiá
Jiquiá is a neighborhood in the city of Recife, Brazil, known for its residential character and urban infrastructure.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b317788190a1672b5ee422a049 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5581ccc81909c9c234e4b61205a |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace5fb515081908acadef0303b8f6e |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace9ba4b3481908d03636d8f72d04c |
completed | March 8, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:50 p.m.