Triple
T2544620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marktl am Inn |
E57868
|
entity |
| Predicate | hasReligionSite |
P916
|
FINISHED |
| Object | baptismal church of Pope Benedict XVI |
—
|
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: baptismal church of Pope Benedict XVI | Statement: [Marktl am Inn, hasReligionSite, baptismal church of Pope Benedict XVI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionSite Context triple: [Marktl am Inn, hasReligionSite, baptismal church of Pope Benedict XVI]
-
A.
hasReligiousSite
chosen
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
B.
nearReligiousSite
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
-
C.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
-
D.
religiousSiteType
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
E.
hasReligiousOrganization
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c10ce88190b242ab3d41878fda |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.