Triple
T35410693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Nord-Hålogaland |
E1023502
|
entity |
| Predicate | hasBishopSeatIn |
P179795
|
FINISHED |
| Object | Tromsø Cathedral |
—
|
NE NERFINISHED |
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: Tromsø Cathedral | Statement: [Diocese of Nord-Hålogaland, hasBishopSeatIn, Tromsø Cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBishopSeatIn Context triple: [Diocese of Nord-Hålogaland, hasBishopSeatIn, Tromsø Cathedral]
-
A.
hasBishopric
Indicates that an entity holds or is assigned a bishopric, i.e., the office, jurisdiction, or see of a bishop.
-
B.
hasBishopsConference
Indicates that an entity is associated with or belongs to a particular bishops' conference.
-
C.
hasPlaceOfBishopric
chosen
Indicates that a bishop’s official ecclesiastical seat or jurisdiction is located in a specified place.
-
D.
isCatholicBishop
Indicates that a person holds the office of bishop within the Roman Catholic Church.
-
E.
hasCatholicosate
Indicates that an entity holds, contains, or is associated with a Catholicosate (the ecclesiastical jurisdiction or office of a Catholicos).
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:03 p.m.