Triple
T17279598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponte dei Quattro Capi |
E419486
|
entity |
| Predicate | hasPiersMaterial |
P1845
|
FINISHED |
| Object | tuff and brick core with stone facing |
—
|
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: tuff and brick core with stone facing | Statement: [Ponte dei Quattro Capi, hasPiersMaterial, tuff and brick core with stone facing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPiersMaterial Context triple: [Ponte dei Quattro Capi, hasPiersMaterial, tuff and brick core with stone facing]
-
A.
hasPremiumMaterials
Indicates that something is made from or includes higher-quality or superior-grade materials compared to standard options.
-
B.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
C.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
featuresMaterialType
Indicates that an entity is characterized by or incorporates a specific type of material.
-
E.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e433286f6c8190bf4a757707707e22 |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.