Triple
T1254830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priestly Fraternity of Saint Peter |
E26962
|
entity |
| Predicate | hasLayFaithfulServed |
P3093
|
FINISHED |
| Object | Catholic laity attached to the traditional Latin liturgy |
—
|
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: Catholic laity attached to the traditional Latin liturgy | Statement: [Priestly Fraternity of Saint Peter, hasLayFaithfulServed, Catholic laity attached to the traditional Latin liturgy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLayFaithfulServed Context triple: [Priestly Fraternity of Saint Peter, hasLayFaithfulServed, Catholic laity attached to the traditional Latin liturgy]
-
A.
hasLayMinistry
chosen
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
-
B.
hasServant
Indicates that one entity has another entity serving it in a subordinate or attendant role.
-
C.
hasLayOrder
Indicates that one entity has issued, received, or is subject to a formal lay order associated with another entity.
-
D.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
E.
servedWith
Indicates that one item is customarily presented, provided, or consumed together with another as an accompaniment or side.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa5a4cc819093ed686619b572d8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.