Triple
T31788643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Birches |
E811400
|
entity |
| Predicate | equivalentNicknameInSwedish |
P11737
|
FINISHED |
| Object | Björkarnas stad |
—
|
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: Björkarnas stad | Statement: [City of Birches, equivalentNicknameInSwedish, Björkarnas stad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentNicknameInSwedish Context triple: [City of Birches, equivalentNicknameInSwedish, Björkarnas stad]
-
A.
nameInSwedish
chosen
Indicates that an entity is known or referred to by a particular name when expressed in the Swedish language.
-
B.
ethnicNameInSwedish
Indicates that a particular ethnic group is referred to by a specific name in the Swedish language.
-
C.
equivalentGivenNameInEnglish
Indicates that two given names are equivalent in meaning or usage when expressed in English.
-
D.
equivalentTitleInSwedish
Indicates that one entity has a title in Swedish that is equivalent in meaning or status to the title of another entity.
-
E.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 30, 2026, 11:38 p.m.