Triple

T20060217
Position Surface form Disambiguated ID Type / Status
Subject Marmore Falls E499448 entity
Predicate nearVillage P350 FINISHED
Object Marmore NE NERFINISHED

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: Marmore | Statement: [Marmore Falls, nearVillage, Marmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marmore
Context triple: [Marmore Falls, nearVillage, Marmore]
  • A. Cascata delle Marmore chosen
    Cascata delle Marmore is a famous man-made waterfall in central Italy, renowned for its impressive height and scenic surroundings near Terni.
  • B. Villasimius
    Villasimius is a popular coastal resort town in southern Sardinia, Italy, known for its sandy beaches, clear turquoise waters, and vibrant summer tourism.
  • C. Marone
    Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
  • D. Giave
    Giave is a small municipality in the historical Logudoro region of northern Sardinia, Italy.
  • E. Dolceacqua
    Dolceacqua is a picturesque medieval village in Italy’s Liguria region, renowned for its stone bridge, historic castle, and scenic setting along the Nervia River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.