Triple
T465546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braunau am Inn |
E8438
|
entity |
| Predicate | isDistrictCapitalOf |
P15001
|
FINISHED |
| Object | District of Braunau am Inn |
—
|
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: District of Braunau am Inn | Statement: [Braunau am Inn, isDistrictCapitalOf, District of Braunau am Inn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDistrictCapitalOf Context triple: [Braunau am Inn, isDistrictCapitalOf, District of Braunau am Inn]
-
A.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
B.
capitalCityOfRegion
Indicates that a city serves as the official capital of a specified region, functioning as its primary administrative or governmental center.
-
C.
capitalCityOfStateInRegion
Indicates that a city serves as the capital of a state that is located within a specified region.
-
D.
capitalRegionOf
Indicates that one region serves as the capital or primary administrative center of another region.
-
E.
capitalCityInvolved
Indicates that a capital city participates in, is affected by, or plays a role in a specified event, process, or relationship.
- F. None of above. chosen
Provenance (4 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd6ec708190b78c7f22deb3ca64 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edea1acc81908a72d9f4c43438ea |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef611b9c8190ac5e9174744d9127 |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.