Triple
T11489693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Anastasia |
E272370
|
entity |
| Predicate | BasilicaDiSantAnastasiaAlPalatinoStatus |
P52073
|
FINISHED |
| Object | titular church |
—
|
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: titular church | Statement: [Saint Anastasia, BasilicaDiSantAnastasiaAlPalatinoStatus, titular church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BasilicaDiSantAnastasiaAlPalatinoStatus Context triple: [Saint Anastasia, BasilicaDiSantAnastasiaAlPalatinoStatus, titular church]
-
A.
basilicaStatus
chosen
Indicates that an entity holds the official ecclesiastical designation or rank of a basilica within a religious tradition.
-
B.
hasBasilica
Indicates that one entity possesses, contains, or is associated with a basilica as a significant feature or component.
-
C.
basilicaHeightApprox
Indicates that an entity is approximately a certain height, specifically in the context of a basilica or basilica-like structure.
-
D.
basilicaStatusGrantedYear
Indicates the year in which a church or religious building was officially granted the status of a basilica.
-
E.
hasBasilicaDedication
Indicates that a basilica is formally dedicated to a particular figure, event, or concept.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.