Triple
T18326940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åsta |
E439034
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Åsta@nb |
—
|
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: Åsta@nb | Statement: [Åsta, hasNameInLanguage, Åsta@nb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åsta@nb Context triple: [Åsta, hasNameInLanguage, Åsta@nb]
-
A.
Åsta
chosen
Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
-
B.
Astatke
Astatke is the surname of Mulatu Astatke, the pioneering Ethiopian musician and composer widely regarded as the father of Ethio-jazz.
-
C.
Årsta
Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
-
D.
ASTRA
ASTRA is the abbreviated name of Switzerland’s Federal Roads Office, the national authority responsible for the country’s road infrastructure and traffic management.
-
E.
Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aab3e7c81909b1c0a688707dfd6 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.