Triple
T1378428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of the Annunciation |
E29279
|
entity |
| Predicate | traditionallyMarks |
P7681
|
FINISHED |
| Object | site of the Annunciation to Mary |
—
|
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: site of the Annunciation to Mary | Statement: [Basilica of the Annunciation, traditionallyMarks, site of the Annunciation to Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionallyMarks Context triple: [Basilica of the Annunciation, traditionallyMarks, site of the Annunciation to Mary]
-
A.
traditionallyOneOf
Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
-
B.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
-
C.
marks
chosen
Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
-
D.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
E.
isTraditional
Indicates that something adheres to long-established customs, practices, or norms rather than modern or innovative ones.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.