Triple
T1309115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Saint Anne in Jerusalem |
E27947
|
entity |
| Predicate | cryptDedicatedTo |
P5511
|
FINISHED |
| Object | birthplace of the Virgin 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: birthplace of the Virgin Mary | Statement: [Church of Saint Anne in Jerusalem, cryptDedicatedTo, birthplace of the Virgin Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cryptDedicatedTo Context triple: [Church of Saint Anne in Jerusalem, cryptDedicatedTo, birthplace of the Virgin Mary]
-
A.
hasCrypt
chosen
Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
-
B.
cipherCategory
Indicates that one item is classified as a type or category of cipher to which the other item belongs.
-
C.
encryptionDirection
Indicates the direction in which data is being encrypted, specifying whether it is going from source to destination or vice versa.
-
D.
securedVariant
Indicates that one entity is a security-enhanced or more protected version of another entity.
-
E.
usesEncryptionAlgorithm
Indicates that one entity applies or relies on a specific encryption algorithm to protect data or communications.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.