Triple

T12464979
Position Surface form Disambiguated ID Type / Status
Subject Pergusa Lake area E297899 entity
Predicate hasPart P35 FINISHED
Object Lake Pergusa E944600 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: Lake Pergusa | Statement: [Pergusa Lake area, hasPart, Lake Pergusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Pergusa
Context triple: [Pergusa Lake area, hasPart, Lake Pergusa]
  • A. Lake Pergusa chosen
    Lake Pergusa is a notable natural lake in central Sicily, Italy, known for its surrounding wildlife reserve and role as an important stopover for migratory birds.
  • B. Lake Nemi
    Lake Nemi is a small volcanic crater lake in Italy’s Alban Hills, historically famed for its picturesque setting, ancient Roman temples, and the sunken ceremonial ships of Emperor Caligula.
  • C. Lake Tauragnas
    Lake Tauragnas is the deepest lake in Lithuania, located in the scenic Aukštaitija region and known for its clear waters and natural surroundings.
  • D. Lake Trichonida
    Lake Trichonida is the largest natural lake in Greece, located in western Greece and known for its rich biodiversity and scenic surroundings.
  • E. Lago Ercina
    Lago Ercina is a small glacial lake in the Picos de Europa mountains of northern Spain, renowned for its scenic alpine setting and popularity with hikers and nature lovers.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db7828481909d8f02b2fde83567 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1f44f481909c7efdffd2aeac41 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.