Triple
T3873689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valère Castle |
E92445
|
entity |
| Predicate | basilicaStatus |
P52073
|
FINISHED |
| Object | minor basilica |
—
|
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: minor basilica | Statement: [Valère Castle, basilicaStatus, minor basilica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basilicaStatus Context triple: [Valère Castle, basilicaStatus, minor basilica]
-
A.
basilicaStyle
Indicates that something is designed, built, or characterized in the architectural style of a basilica.
-
B.
hasBasilica
Indicates that one entity possesses, contains, or is associated with a basilica as a significant feature or component.
-
C.
cathedralStatus
Indicates that an entity holds the official status or designation of a cathedral within a religious or ecclesiastical context.
-
D.
hasBasilicaDedication
Indicates that a basilica is formally dedicated to a particular figure, event, or concept.
-
E.
otherMajorBasilica
Indicates that one basilica stands in a specified relationship as an “other” major basilica to another, distinguishing it from a primary or reference major basilica.
- F. None of above. chosen
Provenance (4 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:20 p.m.