Triple
T3118360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Avellaneda |
E65116
|
entity |
| Predicate | hasLayFaithful |
P45466
|
FINISHED |
| Object | Catholic laity in Avellaneda area |
—
|
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 in Avellaneda area | Statement: [Roman Catholic Diocese of Avellaneda, hasLayFaithful, Catholic laity in Avellaneda area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLayFaithful Context triple: [Roman Catholic Diocese of Avellaneda, hasLayFaithful, Catholic laity in Avellaneda area]
-
A.
hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
-
B.
servesFaithfulOf
Indicates that one entity performs services or acts in a ministering or supportive role for those who are faithful to another entity.
-
C.
hasLayBody
Indicates that an entity possesses or is associated with a lay (non-clerical or non-professional) governing or decision-making body.
-
D.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
-
E.
hasLayOrder
Indicates that one entity has issued, received, or is subject to a formal lay order associated with another entity.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e975f08190a91a01f37a31b766 |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.