Triple
T29530638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany–Scandinavia |
E749190
|
entity |
| Predicate | hasKeyPortInNorway |
P104217
|
FINISHED |
| Object | Oslo |
—
|
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: Oslo | Statement: [Germany–Scandinavia, hasKeyPortInNorway, Oslo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyPortInNorway Context triple: [Germany–Scandinavia, hasKeyPortInNorway, Oslo]
-
A.
hasKeyPort
chosen
Indicates that an entity possesses or is associated with a primary or main port used for connection, access, or communication.
-
B.
isInNordicCountry
Indicates that an entity is located within a country that is part of the Nordic region.
-
C.
hasNameInNorwegian
Indicates that an entity is associated with a specific name expressed in the Norwegian language.
-
D.
hasNordicArea
Indicates that an entity possesses, includes, or is associated with a geographic area located in the Nordic region.
-
E.
hasNearbyPortCountry
Indicates that one entity is a country that has a seaport located geographically close to the other entity.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 4:52 p.m.