Triple

T18062099
Position Surface form Disambiguated ID Type / Status
Subject Vatican walls E432198 entity
Predicate hasPart P35 FINISHED
Object Bastione di San Carlo Borromeo 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: Bastione di San Carlo Borromeo | Statement: [Vatican walls, hasPart, Bastione di San Carlo Borromeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bastione di San Carlo Borromeo
Context triple: [Vatican walls, hasPart, Bastione di San Carlo Borromeo]
  • A. Bastione di San Matteo
    Bastione di San Matteo is a defensive bastion incorporated into the historic fortification system of the Vatican City walls.
  • B. Bastione di San Lorenzo
    Bastione di San Lorenzo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • C. Bastione di San Carlo chosen
    Bastione di San Carlo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • D. Bastione di San Luigi
    Bastione di San Luigi is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • E. Bastione di San Pietro
    Bastione di San Pietro is a defensive bastion incorporated into the fortification system surrounding Vatican City.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c107351c8190a2bfdb46754c2c6e completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.