Triple
T25744299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of San Bernardino, L'Aquila |
E648303
|
entity |
| Predicate | shrineFor |
P2950
|
FINISHED |
| Object | Saint Bernardino of Siena |
—
|
NE NERFINISHED |
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: Saint Bernardino of Siena | Statement: [Basilica of San Bernardino, L'Aquila, shrineFor, Saint Bernardino of Siena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shrineFor Context triple: [Basilica of San Bernardino, L'Aquila, shrineFor, Saint Bernardino of Siena]
-
A.
shrineType
Indicates the specific category or kind of shrine associated with an entity.
-
B.
shrineName
Indicates that an entity has the specified name of a shrine.
-
C.
shrineCity
Indicates that a city is the location of, or is associated with, a particular shrine.
-
D.
enshrines
chosen
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
E.
recognizedAsShrineBy
Indicates that something is regarded or designated as a shrine by a particular person, group, or authority.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1d64c081909bcb839fdfd297d0 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:49 a.m.