Triple
T8570340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facade of Santa Maria Novella, Florence |
E202909
|
entity |
| Predicate | hasUpperPartFrom |
P83691
|
FINISHED |
| Object | 15th century |
—
|
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: 15th century | Statement: [Facade of Santa Maria Novella, Florence, hasUpperPartFrom, 15th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperPartFrom Context triple: [Facade of Santa Maria Novella, Florence, hasUpperPartFrom, 15th century]
-
A.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
C.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
D.
hasUpperTier
Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
-
E.
isOnlyPartOf
Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
- F. None of above. chosen
Provenance (4 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4091f48190b5174d7a5cfd2bd8 |
completed | March 31, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:21 p.m.