Triple
T5792405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Orange |
E128424
|
entity |
| Predicate | acquisitionOfChristCathedralAnnounced |
P65868
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Roman Catholic Diocese of Orange, acquisitionOfChristCathedralAnnounced, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionOfChristCathedralAnnounced Context triple: [Roman Catholic Diocese of Orange, acquisitionOfChristCathedralAnnounced, 2011]
-
A.
coCathedral
Indicates that a church shares the status and functions of a cathedral with another cathedral within the same diocese or ecclesiastical jurisdiction.
-
B.
cathedralDedication
Indicates the religious figure, event, or concept to which a cathedral is formally dedicated.
-
C.
purchasedChristCathedralCampusFrom
Indicates a transaction in which one party bought the Christ Cathedral campus property from another party.
-
D.
cathedralStatus
Indicates that an entity holds the official status or designation of a cathedral within a religious or ecclesiastical context.
-
E.
containsCathedral
Indicates that one entity includes or has within its boundaries a cathedral associated with it.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:51 p.m.