Triple

T780311
Position Surface form Disambiguated ID Type / Status
Subject Puerto Montt E16480 entity
Predicate locatedNear P294 FINISHED
Object 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.
E128025 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: Puerto Varas | Statement: [Puerto Montt, locatedNear, Puerto Varas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Varas
Context triple: [Puerto Montt, locatedNear, Puerto Varas]
  • 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. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • C. Coyhaique
    Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
  • D. Temuco
    Temuco is a major city in southern Chile, known as a commercial and cultural center of the Araucanía Region with a strong Mapuche heritage.
  • E. Puerto Natales
    Puerto Natales is a small Patagonian port town in southern Chile, best known as the main gateway to Torres del Paine National Park.
  • 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: Puerto Varas
Triple: [Puerto Montt, locatedNear, Puerto Varas]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Puerto Varas
Target entity description: 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.
  • 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. Calama
    Calama is a city in northern Chile known as a key mining center and gateway to the Atacama Desert.
  • C. Coyhaique
    Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
  • D. Temuco
    Temuco is a major city in southern Chile, known as a commercial and cultural center of the Araucanía Region with a strong Mapuche heritage.
  • E. Puerto Natales
    Puerto Natales is a small Patagonian port town in southern Chile, best known as the main gateway to Torres del Paine National Park.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53753d308190928675f60e27d702 completed March 7, 2026, 4:33 p.m.
NEDg Description generation batch_69ac541f80208190bf23aad6a21515bd completed March 7, 2026, 4:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac548b363881908de3588d34c4960c completed March 7, 2026, 4:38 p.m.
Created at: March 1, 2026, 7:37 p.m.