Triple
T15302218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stavanger Cathedral |
E365815
|
entity |
| Predicate | oldestCathedralStatus |
P108370
|
FINISHED |
| Object | oldest Norwegian cathedral in continuous use |
—
|
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: oldest Norwegian cathedral in continuous use | Statement: [Stavanger Cathedral, oldestCathedralStatus, oldest Norwegian cathedral in continuous use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldestCathedralStatus Context triple: [Stavanger Cathedral, oldestCathedralStatus, oldest Norwegian cathedral in continuous use]
-
A.
oneOfOldestCathedralsIn
chosen
Indicates that something is among the oldest cathedrals located in a specified place or region.
-
B.
cathedralStatus
Indicates that an entity holds the official status or designation of a cathedral within a religious or ecclesiastical context.
-
C.
isOldestSurvivingChurchIn
Indicates that a church is the most ancient one still standing within a specified location or region.
-
D.
hasCathedralStatusSince
Indicates the point in time from which something has held the official status of a cathedral.
-
E.
cathedralUNESCOStatus
Indicates that a cathedral has a particular recognition or designation status from UNESCO.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.