Triple

T11603285
Position Surface form Disambiguated ID Type / Status
Subject Qormi E275185 entity
Predicate borderedBy P224 FINISHED
Object Santa Venera E936296 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: Santa Venera | Statement: [Qormi, borderedBy, Santa Venera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Venera
Context triple: [Qormi, borderedBy, Santa Venera]
  • A. Santa Venera chosen
    Santa Venera is a small urban town in central Malta known for its residential character and proximity to the capital, Valletta.
  • B. Rotunda of Mosta
    The Rotunda of Mosta is a prominent 19th-century Roman Catholic church in Malta, famed for its massive unsupported dome and its survival of an unexploded bomb during World War II.
  • C. Cefalù Cathedral
    Cefalù Cathedral is a 12th-century Norman Romanesque cathedral in Cefalù, Sicily, renowned for its monumental architecture and exquisite Byzantine mosaics.
  • D. Trapani Cathedral
    Trapani Cathedral is a historic Roman Catholic church and prominent religious landmark located in the coastal city of Trapani, Sicily.
  • E. Palermo Cathedral
    Palermo Cathedral is a historic Roman Catholic church in Palermo, Sicily, renowned for its diverse architectural styles and royal tombs, including those of Norman kings.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954daa908190a8d532e43aa4a881 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018eeb0f48190aea4f55d787f807a completed April 28, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:38 p.m.