Triple
T18927110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongsberg Church |
E463001
|
entity |
| Predicate | hasPulpitStyle |
P133825
|
FINISHED |
| Object | Baroque |
—
|
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: Baroque | Statement: [Kongsberg Church, hasPulpitStyle, Baroque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPulpitStyle Context triple: [Kongsberg Church, hasPulpitStyle, Baroque]
-
A.
hasPulpit
Indicates that one entity possesses, contains, or is equipped with a pulpit used for speaking or preaching.
-
B.
hasChapelStyle
Indicates that a chapel possesses or is characterized by a particular architectural or stylistic design.
-
C.
hasPews
Indicates that one entity (typically a building or room) is equipped with or contains pews.
-
D.
hasLiturgicalPosture
Indicates that an entity is associated with a specific bodily posture or position used in a liturgical or religious ritual context.
-
E.
hasCathedralStyle
Indicates that something possesses or is characterized by a particular architectural style associated with a cathedral.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bc36588190ae9cc3b8abf8afd4 |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.