Triple
T17742046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münsterplatz (Bern) |
E442883
|
entity |
| Predicate | isPartOfUrbanEnsemble |
P119773
|
FINISHED |
| Object | medieval street grid of Bern |
—
|
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: medieval street grid of Bern | Statement: [Münsterplatz (Bern), isPartOfUrbanEnsemble, medieval street grid of Bern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanEnsemble Context triple: [Münsterplatz (Bern), isPartOfUrbanEnsemble, medieval street grid of Bern]
-
A.
isPartOfUrbanProject
Indicates that something belongs to, is included within, or constitutes a component of a broader urban development project.
-
B.
partOfUrbanLayout
chosen
Indicates that one entity is a component or constituent element within the overall structure or organization of an urban area.
-
C.
partOfUrbanPlanBy
Indicates that something is included as a component or element within an urban plan created or overseen by a specified agent.
-
D.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
E.
isOneOfUrbanDistrictsOf
Indicates that an entity is a member of the set of urban districts belonging to a specified larger administrative area or city.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acd780c8190b1308ef0aca00f5c |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.