Triple
T20216351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Our Lady of the Assumption (Hasselt) |
E495134
|
entity |
| Predicate | isAPlaceOf |
P7849
|
FINISHED |
| Object | Marian devotion |
—
|
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: Marian devotion | Statement: [Basilica of Our Lady of the Assumption (Hasselt), isAPlaceOf, Marian devotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAPlaceOf Context triple: [Basilica of Our Lady of the Assumption (Hasselt), isAPlaceOf, Marian devotion]
-
A.
isSiteOf
chosen
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
B.
placeType
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
C.
isPopulatedPlaceIn
Indicates that a populated place (such as a city, town, or village) is located within a specified larger geographic or administrative area.
-
D.
isPopulatedPlace
Indicates that the subject is a geographic location where people live or have lived, such as a city, town, village, or settlement.
-
E.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66eda2f188190adf39d895e8b99f2 |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.