Triple

T4840603
Position Surface form Disambiguated ID Type / Status
Subject Panguipulli Lake E108169 entity
Predicate hasShoreSettlement P16159 FINISHED
Object Panguipulli E111503 NE FINISHED

How this triple was built (2 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: Panguipulli | Statement: [Panguipulli Lake, hasShoreSettlement, Panguipulli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panguipulli
Context triple: [Panguipulli Lake, hasShoreSettlement, Panguipulli]
  • A. Panguipulli chosen
    Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
  • B. Tocancipá
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
  • C. San José de la Mariquina
    San José de la Mariquina is a small Chilean city known for its agricultural surroundings and location in the southern Los Ríos Region.
  • D. San Sebastián del Piñal de Caguax
    San Sebastián del Piñal de Caguax is the original colonial-era name of the city now known as Caguas in Puerto Rico.
  • E. La Falda
    La Falda is a small tourist city in the Sierras de Córdoba in central Argentina, known for its scenic mountain setting and historic hotels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cfbfbb08190b4580ebb2eb845b2 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d449188190a2f02fa30aee4891 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:25 p.m.