Triple
T4348174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidaros Cathedral |
E97955
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Nidaros |
E136993
|
NE 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: Nidaros | Statement: [Nidaros Cathedral, namedAfter, Nidaros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nidaros Context triple: [Nidaros Cathedral, namedAfter, Nidaros]
-
A.
Trondheim
chosen
Trondheim is a historic Norwegian city in Trøndelag county, known for its medieval Nidaros Cathedral and role as a former capital of Norway.
-
B.
Stavanger Cathedral
Stavanger Cathedral is a medieval stone church in Stavanger, Norway, and the country's oldest cathedral still in continuous use.
-
C.
Oslo Cathedral
Oslo Cathedral is the main church of the Church of Norway Diocese of Oslo, a historic Lutheran cathedral located in the center of Norway’s capital city.
-
D.
Eidsvoll
Eidsvoll is a historic Norwegian town best known as the site where Norway’s constitution was drafted and signed in 1814.
-
E.
Rakkestad
Rakkestad is a rural municipality in Viken county, southeastern Norway, known for its agriculture and forests.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a5559c819081608b0aaf6a0e66 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbad2f908190b5ee53bc7f2294c9 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:15 p.m.