Triple
T26982399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | berg |
E679637
|
entity |
| Predicate | meaningInSwedish |
P165873
|
FINISHED |
| Object | mountain |
—
|
LITERAL 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: mountain | Statement: [berg, meaningInSwedish, mountain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningInSwedish Context triple: [berg, meaningInSwedish, mountain]
-
A.
meaningInFinnish
Indicates that one entity expresses the meaning or translation of another entity in the Finnish language.
-
B.
meaningInGerman
Indicates that one entity expresses the meaning or translation of another entity in the German language.
-
C.
meaningInArabic
Indicates that one entity expresses the meaning or translation of another entity in the Arabic language.
-
D.
meaningInPolish
Indicates that one entity expresses the meaning or translation of another entity in the Polish language.
-
E.
meaningInModernScandinavianLanguages
Indicates that something has a particular meaning or sense when used in contemporary Scandinavian languages.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 27, 2026, 6:46 a.m.