Triple
T27831398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ave Maria Parish |
E703106
|
entity |
| Predicate | hasParishionerType |
P102839
|
FINISHED |
| Object | local residents |
—
|
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: local residents | Statement: [Ave Maria Parish, hasParishionerType, local residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParishionerType Context triple: [Ave Maria Parish, hasParishionerType, local residents]
-
A.
hasParishType
Indicates that an entity is associated with or classified by a specific type or category of parish.
-
B.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
C.
hasParishionersFrom
chosen
Indicates that a religious institution or parish includes parishioners who come from a specified place or group.
-
D.
hasDevoteeType
Indicates that an entity has a devotee characterized by a specific type or category of devotion.
-
E.
hasChurchType
Indicates that one entity (typically a church) is classified as being of a particular church type or category.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 27, 2026, 5:56 p.m.