Triple
T634945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valparaíso Region |
E16602
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Quilpué
Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
|
E86853
|
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: Quilpué | Statement: [Valparaíso Region, hasMajorCity, Quilpué]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quilpué Context triple: [Valparaíso Region, hasMajorCity, Quilpué]
-
A.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
B.
Calama
Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
-
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.
Andacollo
Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
-
E.
Elqui River
The Elqui River is a key waterway in northern Chile known for irrigating the Elqui Valley, a region famous for its vineyards, pisco production, and clear skies for astronomical observation.
- 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: Quilpué Triple: [Valparaíso Region, hasMajorCity, Quilpué]
Generated description
Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quilpué Target entity description: Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
-
A.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
B.
Calama
Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
-
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.
Andacollo
Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
-
E.
Elqui River
The Elqui River is a key waterway in northern Chile known for irrigating the Elqui Valley, a region famous for its vineyards, pisco production, and clear skies for astronomical observation.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63742d8a8819087c7c2fa2430da75 |
completed | March 3, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69a637ef099c8190a23f59a39e4e110a |
completed | March 3, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a63c075f988190aa9f7073b44fb97b |
completed | March 3, 2026, 1:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.