Triple
T15085774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of Marseille |
E360268
|
entity |
| Predicate | hasProminentChurches |
P117248
|
FINISHED |
| Object | multiple major churches in the Marseille region |
—
|
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: multiple major churches in the Marseille region | Statement: [Archdiocese of Marseille, hasProminentChurches, multiple major churches in the Marseille region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProminentChurches Context triple: [Archdiocese of Marseille, hasProminentChurches, multiple major churches in the Marseille region]
-
A.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
B.
hasMainCathedral
Indicates that an entity possesses or is associated with a primary cathedral that serves as its main ecclesiastical center.
-
C.
hasHistoricChurches
Indicates that an entity possesses or contains one or more churches of recognized historical significance.
-
D.
hasCathedralDenomination
Indicates the religious denomination with which a cathedral is affiliated or to which it belongs.
-
E.
wasAmongLargestChurchesIn
Indicates that a church ranked among the largest churches within a specified place or region.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00275cfa88190a13fe20b585d9fcb |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:03 a.m.