Triple
T2295645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen |
E51605
|
entity |
| Predicate | cathedralFamousFor |
P29783
|
FINISHED |
| Object | façade painted by Claude Monet |
—
|
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: façade painted by Claude Monet | Statement: [Rouen, cathedralFamousFor, façade painted by Claude Monet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cathedralFamousFor Context triple: [Rouen, cathedralFamousFor, façade painted by Claude Monet]
-
A.
cathedralLocatedIn
Indicates that a cathedral is situated within or belongs to a specific geographic or administrative location.
-
B.
cathedralFeature
chosen
Indicates that one entity is a distinctive architectural or structural feature of a cathedral.
-
C.
hasMainCathedral
Indicates that an entity possesses or is associated with a primary cathedral that serves as its main ecclesiastical center.
-
D.
coCathedral
Indicates that a church shares the status and functions of a cathedral with another cathedral within the same diocese or ecclesiastical jurisdiction.
-
E.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.