Triple
T3067718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old St. Mary’s Church, Philadelphia, Pennsylvania |
E62145
|
entity |
| Predicate | hasDenominationRite |
P44221
|
FINISHED |
| Object | Latin Rite |
—
|
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: Latin Rite | Statement: [Old St. Mary’s Church, Philadelphia, Pennsylvania, hasDenominationRite, Latin Rite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDenominationRite Context triple: [Old St. Mary’s Church, Philadelphia, Pennsylvania, hasDenominationRite, Latin Rite]
-
A.
hasDenominationalUse
Indicates that something is used or applied within the context of a particular religious denomination or sect.
-
B.
includesDenomination
Indicates that one entity contains, comprises, or explicitly specifies a particular denomination as part of its definition or composition.
-
C.
originatedInDenomination
Indicates that an entity began or was founded within a particular religious denomination.
-
D.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
E.
hasLiturgicalRank
Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.