Triple
T8768373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloister of San Pietro in Montorio |
E208392
|
entity |
| Predicate | hasColonnades |
P18962
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cloister of San Pietro in Montorio, hasColonnades, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonnades Context triple: [Cloister of San Pietro in Montorio, hasColonnades, yes]
-
A.
hasColonnade
chosen
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
B.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
C.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
-
D.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
-
E.
hasCourtyardFeature
Indicates that a courtyard possesses or includes a specific feature or characteristic.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eec49708190ba760d81a7974c50 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:41 p.m.