Triple
T35935853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Settlement, Greenland |
E1039301
|
entity |
| Predicate | hasModernNameInNorwegian |
P20950
|
FINISHED |
| Object | Vesterbygda |
—
|
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: Vesterbygda | Statement: [Western Settlement, Greenland, hasModernNameInNorwegian, Vesterbygda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernNameInNorwegian Context triple: [Western Settlement, Greenland, hasModernNameInNorwegian, Vesterbygda]
-
A.
hasNameInNorwegian
Indicates that an entity is associated with a specific name expressed in the Norwegian language.
-
B.
hasModernName
chosen
Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
-
C.
hasOfficialNameInNorwegianNynorsk
Indicates that an entity has an official name expressed in the Norwegian Nynorsk language.
-
D.
hasOfficialNameInNorwegianBokmål
Indicates that an entity has an official name expressed in the Norwegian Bokmål language.
-
E.
hasModernNameLanguage
Indicates that the modern name of an entity is expressed in a particular language.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:07 p.m.