Triple
T18062080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatican walls |
E432198
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Bastione di San Luigi
Bastione di San Luigi is a defensive bastion incorporated into the fortification system of the Vatican City walls.
|
E1327237
|
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 Luigi | Statement: [Vatican walls, hasPart, Bastione di San Luigi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bastione di San Luigi Context triple: [Vatican walls, hasPart, Bastione di San Luigi]
-
A.
Bastione di San Lorenzo
Bastione di San Lorenzo is a historic 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 Pietro
Bastione di San Pietro is a defensive bastion incorporated into the fortification system surrounding Vatican City.
-
E.
Bastione di San Matteo
Bastione di San Matteo is a defensive bastion incorporated into the historic 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 Luigi Triple: [Vatican walls, hasPart, Bastione di San Luigi]
Generated description
Bastione di San Luigi 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 Luigi Target entity description: Bastione di San Luigi is a defensive bastion incorporated into the fortification system of the Vatican City walls.
-
A.
Bastione di San Lorenzo
Bastione di San Lorenzo is a historic 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 Pietro
Bastione di San Pietro is a defensive bastion incorporated into the fortification system surrounding Vatican City.
-
E.
Bastione di San Matteo
Bastione di San Matteo is a defensive bastion incorporated into the historic 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_6a04712799948190b326d082cf1b25fb |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472626b9c8190b23679a60f927772 |
completed | May 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0473d333548190a9eada899aacac52 |
completed | May 13, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:26 a.m.