Triple

T18062083
Position Surface form Disambiguated ID Type / Status
Subject Vatican walls E432198 entity
Predicate hasPart P35 FINISHED
Object Bastione di San Filippo Neri
The Bastione di San Filippo Neri is a defensive bastion incorporated into the historic fortification system of the Vatican City.
 E1331234 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 Filippo Neri | Statement: [Vatican walls, hasPart, Bastione di San Filippo Neri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bastione di San Filippo Neri
Context triple: [Vatican walls, hasPart, Bastione di San Filippo Neri]
  • A. Bastione di San Pio V
    Bastione di San Pio V is a historic defensive bastion incorporated into the fortification system of the Vatican City.
  • B. Bastione di San Matteo
    Bastione di San Matteo is a defensive bastion incorporated into the historic fortification system of the Vatican City walls.
  • C. Bastione di San Pietro
    Bastione di San Pietro is a defensive bastion incorporated into the fortification system surrounding Vatican City.
  • 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 Francesco
    Bastione di San Francesco is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • 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 Filippo Neri
Triple: [Vatican walls, hasPart, Bastione di San Filippo Neri]
Generated description
The Bastione di San Filippo Neri is a defensive bastion incorporated into the historic fortification system of the Vatican City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bastione di San Filippo Neri
Target entity description: The Bastione di San Filippo Neri is a defensive bastion incorporated into the historic fortification system of the Vatican City.
  • A. Bastione di San Pio V
    Bastione di San Pio V is a historic defensive bastion incorporated into the fortification system of the Vatican City.
  • B. Bastione di San Matteo
    Bastione di San Matteo is a defensive bastion incorporated into the historic fortification system of the Vatican City walls.
  • C. Bastione di San Pietro
    Bastione di San Pietro is a defensive bastion incorporated into the fortification system surrounding Vatican City.
  • 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 Francesco
    Bastione di San Francesco is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • 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_6a04f870f7008190915e8675daed3c12 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f95f3ce081909d027cb112990424 completed May 13, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9ffc3fc8190aad62561ca56bdae completed May 13, 2026, 10:24 p.m.
Created at: April 10, 2026, 10:26 a.m.