Triple

T14269054
Position Surface form Disambiguated ID Type / Status
Subject Lago di Mezzo E353727 entity
Predicate near P350 FINISHED
Object Lago Inferiore E1101889 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: Lago Inferiore | Statement: [Lago di Mezzo, near, Lago Inferiore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lago Inferiore
Context triple: [Lago di Mezzo, near, Lago Inferiore]
  • A. Lago Inferiore chosen
    Lago Inferiore is one of the main lakes in the Mincio River system near Mantua, Italy, forming part of the historic ring of lakes surrounding the city.
  • B. Lake Mezzano
    Lake Mezzano is a small circular volcanic lake in central Italy, formed in an ancient crater within the Vulsini volcanic region.
  • C. Lago Dorado
    Lago Dorado is the central lake around which Disney’s Coronado Springs Resort is built, serving as a scenic focal point for the property.
  • D. San Andreas Lake
    San Andreas Lake is a long, narrow reservoir on the San Francisco Peninsula in California, best known for lending its name to the nearby San Andreas Fault.
  • E. Lago Sul
    Lago Sul is an affluent residential region of Brasília, Brazil, known for its upscale homes, embassies, and scenic views over Paranoá Lake.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a31ef388190bc3082abc1c25ff4 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:10 a.m.