Triple
T6037397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colchagua Province |
E134455
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Nancagua
Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
|
E582300
|
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: Nancagua | Statement: [Colchagua Province, hasMunicipality, Nancagua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancagua Context triple: [Colchagua Province, hasMunicipality, Nancagua]
-
A.
Rancagua
Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
-
B.
Quillota
Quillota is a Chilean city known for its agricultural production and historical significance within the Valparaíso Region.
-
C.
Talca
Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
-
D.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
E.
Chillán
Chillán is a historic city in central Chile known for its cultural heritage, markets, and as the birthplace of several prominent Chilean figures.
- 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: Nancagua Triple: [Colchagua Province, hasMunicipality, Nancagua]
Generated description
Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancagua Target entity description: Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
-
A.
Rancagua
Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
-
B.
Quillota
Quillota is a Chilean city known for its agricultural production and historical significance within the Valparaíso Region.
-
C.
Talca
Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
-
D.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
E.
Chillán
Chillán is a historic city in central Chile known for its cultural heritage, markets, and as the birthplace of several prominent Chilean figures.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cb06508190a90beb4d9d083835 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ccee748190a0e292bc18b552f8 |
completed | March 26, 2026, 11:30 a.m. |
| NEDg | Description generation | batch_69c52d49889c819096580c737231a765 |
completed | March 26, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c58eb539a481909c5a279c1047cfd3 |
completed | March 26, 2026, 7:53 p.m. |
Created at: March 22, 2026, 4:08 p.m.