Triple
T37774629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustaw |
E941650
|
entity |
| Predicate | equivalentFormInSwedish |
P189026
|
FINISHED |
| Object | Gustav |
—
|
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: Gustav | Statement: [Gustaw, equivalentFormInSwedish, Gustav]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentFormInSwedish Context triple: [Gustaw, equivalentFormInSwedish, Gustav]
-
A.
equivalentTitleInSwedish
Indicates that one entity has a title in Swedish that is equivalent in meaning or status to the title of another entity.
-
B.
equivalentEnglishForm
Indicates that two expressions share the same meaning in English, serving as equivalent linguistic forms.
-
C.
equivalentFormInHungarian
Indicates that one linguistic form has an equivalent expression or translation in Hungarian.
-
D.
meaningInSwedish
Indicates that one entity expresses the meaning or translation of another entity in the Swedish language.
-
E.
equivalentFormInPortuguese
Indicates that one linguistic form has an equivalent expression or representation in Portuguese.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.