Triple
T6078584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardtberg |
E135463
|
entity |
| Predicate | belongsToAdministrativeDistrict |
P33663
|
FINISHED |
| Object | urban district of Bonn |
—
|
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: urban district of Bonn | Statement: [Hardtberg, belongsToAdministrativeDistrict, urban district of Bonn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToAdministrativeDistrict Context triple: [Hardtberg, belongsToAdministrativeDistrict, urban district of Bonn]
-
A.
administrativeDistrictOf
chosen
Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
-
B.
hasAdministrativeArea
Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
-
C.
containsAdministrativeTerritory
Indicates that one administrative unit geographically or jurisdictionally includes another administrative territory within its boundaries.
-
D.
administrativeDistricts
Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
-
E.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057706d9881909b52093282593886 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.