Triple

T8984722
Position Surface form Disambiguated ID Type / Status
Subject Varese E214629 entity
Predicate hasLake P1025 FINISHED
Object Lake Varese E722421 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 Varese | Statement: [Varese, hasLake, Lake Varese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Varese
Context triple: [Varese, hasLake, Lake Varese]
  • A. Lake Varese chosen
    Lake Varese is a glacial lake in northern Italy known for its scenic surroundings, birdlife, and rowing activities.
  • B. Doberdò Lake
    Doberdò Lake is a karstic lake in northeastern Italy known for its fluctuating water levels and unique wetland ecosystem within the Karst Plateau.
  • C. Lake Iseo
    Lake Iseo is a picturesque glacial lake in northern Italy, known for its tranquil scenery, surrounding mountains, and the island of Monte Isola at its center.
  • D. Lake Maggiore
    Lake Maggiore is a large glacial lake in the Italian Alps renowned for its scenic beauty, mild climate, and historic lakeside towns and islands.
  • E. Lake Lugano
    Lake Lugano is a glacial lake in the southern Alps, straddling the border between Switzerland and Italy and known for its picturesque scenery and lakeside towns.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ecc5188190a6fb4d5456893121 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01755d26c819084c6b4967550842e completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:03 p.m.