Triple
T7875403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Elijah the Prophet |
E182837
|
entity |
| Predicate | hasFrescoTechnique |
P3047
|
FINISHED |
| Object | secco and fresco painting |
—
|
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: secco and fresco painting | Statement: [Church of Elijah the Prophet, hasFrescoTechnique, secco and fresco painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrescoTechnique Context triple: [Church of Elijah the Prophet, hasFrescoTechnique, secco and fresco painting]
-
A.
hasFrescoBy
Indicates that something (typically a building, room, or wall) contains or features a fresco created by a specified artist.
-
B.
hasFrescoes
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
-
C.
hasFBO
Indicates that one entity has a specified Foreign/Final Beneficial Owner (FBO) associated with it.
-
D.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
E.
hasPaintShop
Indicates that an entity operates, contains, or is associated with a paint shop facility or service.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a961188190b2f12f8fe5d66641 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:57 p.m.