Triple
T1035353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atacama Region |
E22348
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vallenar
Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
|
E180579
|
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: Vallenar | Statement: [Atacama Region, contains, Vallenar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallenar Context triple: [Atacama Region, contains, Vallenar]
-
A.
Puerto Montt
Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
-
B.
Coyhaique
Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
-
C.
Puerto Varas
Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
-
D.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
-
E.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
- 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: Vallenar Triple: [Atacama Region, contains, Vallenar]
Generated description
Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vallenar Target entity description: Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
-
A.
Puerto Montt
Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
-
B.
Coyhaique
Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
-
C.
Puerto Varas
Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
-
D.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
-
E.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b816272c8190a12e470c4d4ebcf9 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad467e48e0819099f159a2f0aa03b0 |
completed | March 8, 2026, 9:50 a.m. |
| NEDg | Description generation | batch_69ad47235fb08190b53b66b0af859a47 |
completed | March 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad4775b6748190805f2bcbe091abb2 |
completed | March 8, 2026, 9:55 a.m. |
Created at: March 1, 2026, 7:41 p.m.