Triple

T18062085
Position Surface form Disambiguated ID Type / Status
Subject Vatican walls E432198 entity
Predicate hasPart P35 FINISHED
Object Bastione di San Vincenzo
Bastione di San Vincenzo is a defensive bastion incorporated into the fortification system of the Vatican City walls.
 E1334180 NE FINISHED

How this triple was built (4 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 Vincenzo | Statement: [Vatican walls, hasPart, Bastione di San Vincenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bastione di San Vincenzo
Context triple: [Vatican walls, hasPart, Bastione di San Vincenzo]
  • A. Bastione di San Luigi
    Bastione di San Luigi is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • B. Bastione di San Carlo
    Bastione di San Carlo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • C. Bastione di San Giovanni
    Bastione di San Giovanni is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • D. Bastione di San Lorenzo
    Bastione di San Lorenzo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • E. Bastione di San Tommaso
    Bastione di San Tommaso is a historic defensive bastion incorporated into the fortification system surrounding Vatican City.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bastione di San Vincenzo
Triple: [Vatican walls, hasPart, Bastione di San Vincenzo]
Generated description
Bastione di San Vincenzo is a defensive bastion incorporated into the fortification system of the Vatican City walls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bastione di San Vincenzo
Target entity description: Bastione di San Vincenzo is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • A. Bastione di San Luigi
    Bastione di San Luigi is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • B. Bastione di San Carlo
    Bastione di San Carlo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • C. Bastione di San Giovanni
    Bastione di San Giovanni is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • D. Bastione di San Lorenzo
    Bastione di San Lorenzo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • E. Bastione di San Tommaso
    Bastione di San Tommaso is a historic defensive bastion incorporated into the fortification system surrounding Vatican City.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a050d5e28208190b3ddd112e6e36b4d completed May 13, 2026, 11:46 p.m.
NEDg Description generation batch_6a050e12c29c8190b4be001f9fc8dd05 completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050ecc33e48190bc28430a6a771492 completed May 13, 2026, 11:52 p.m.
Created at: April 10, 2026, 10:26 a.m.