Triple
T7975107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åsa Larsson |
E185424
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Åsa |
E681659
|
NE 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: Åsa | Statement: [Åsa Larsson, givenName, Åsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åsa Context triple: [Åsa Larsson, givenName, Åsa]
-
A.
Åsa
chosen
Åsa is a Scandinavian feminine given name commonly used in Sweden and other Nordic countries.
-
B.
Ylva
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
-
C.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
D.
Agneta
Agneta is a feminine given name, primarily used in Scandinavian countries, that is a variant of the name Agnes.
-
E.
Kattrin
Kattrin is a central, mute character in Bertolt Brecht’s play "Mother Courage and Her Children," known for her selfless bravery and tragic sacrifice during the Thirty Years' War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf42a508190bb661fce34ec0151 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.