Triple
T5250629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Innocent X |
E118576
|
entity |
| Predicate | notableWorkInUrbanism |
P29300
|
FINISHED |
| Object | development of Piazza Navona |
—
|
LITERAL FINISHED |
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: development of Piazza Navona | Statement: [Pope Innocent X, notableWorkInUrbanism, development of Piazza Navona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWorkInUrbanism Context triple: [Pope Innocent X, notableWorkInUrbanism, development of Piazza Navona]
-
A.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
B.
notableWorkWith
Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
-
C.
architecturalContribution
Indicates a relationship where an entity contributes to the design, planning, or creation of an architectural work or feature.
-
D.
notableWorkIn
chosen
Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
-
E.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
- F. None of above.
Provenance (3 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b79ae0c81908a9b8614f6886259 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.