Triple
T1987074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Trento |
E43165
|
entity |
| Predicate | isMetropolitanSee |
P20454
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Diocese of Trento, isMetropolitanSee, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMetropolitanSee Context triple: [Diocese of Trento, isMetropolitanSee, true]
-
A.
metropolitanSee
Indicates a relationship where one metropolitan area views, oversees, or conceptually regards another place, entity, or aspect within its sphere of influence.
-
B.
hasMetropolitanSee
chosen
Indicates that one ecclesiastical jurisdiction serves as the metropolitan (primary or overseeing) see in relation to another church territory.
-
C.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
D.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
E.
isMetropolitanCity
Indicates that a city qualifies as a major urban center, typically characterized by large population, extensive infrastructure, and significant economic, cultural, or administrative importance.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.