Triple

T18062110
Position Surface form Disambiguated ID Type / Status
Subject Vatican walls E432198 entity
Predicate hasPart P35 FINISHED
Object Bastione di San Raimondo
Bastione di San Raimondo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
E1363283 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 Raimondo | Statement: [Vatican walls, hasPart, Bastione di San Raimondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bastione di San Raimondo
Context triple: [Vatican walls, hasPart, Bastione di San Raimondo]
  • A. Bastione di San Francesco
    Bastione di San Francesco is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • B. Bastione di San Gregorio
    Bastione di San Gregorio is a defensive bastion incorporated into the fortification system surrounding Vatican City.
  • C. Bastione di San Leone
    Bastione di San Leone is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • D. Bastione di San Giovanni
    Bastione di San Giovanni is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • E. Bastione di San Taddeo
    Bastione di San Taddeo is a defensive bastion incorporated into the historic 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 Raimondo
Triple: [Vatican walls, hasPart, Bastione di San Raimondo]
Generated description
Bastione di San Raimondo is a historic 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 Raimondo
Target entity description: Bastione di San Raimondo is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • A. Bastione di San Francesco
    Bastione di San Francesco is a defensive bastion incorporated into the fortification system of the Vatican City walls.
  • B. Bastione di San Gregorio
    Bastione di San Gregorio is a defensive bastion incorporated into the fortification system surrounding Vatican City.
  • C. Bastione di San Leone
    Bastione di San Leone is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • D. Bastione di San Giovanni
    Bastione di San Giovanni is a historic defensive bastion incorporated into the fortification system of the Vatican City walls.
  • E. Bastione di San Taddeo
    Bastione di San Taddeo is a defensive bastion incorporated into the historic 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_6a06f893ede48190a5089ef01ba1857a completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06fa3508a081908e76f7f865ca65ce completed May 15, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a06fb454edc8190a1489c04bc749852 completed May 15, 2026, 10:53 a.m.
Created at: April 10, 2026, 10:26 a.m.