Triple
T23729966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nørholm gård |
E586383
|
entity |
| Predicate | hasWritingAssociated |
P153734
|
FINISHED |
| Object | works of Knut Hamsun |
—
|
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: works of Knut Hamsun | Statement: [Nørholm gård, hasWritingAssociated, works of Knut Hamsun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWritingAssociated Context triple: [Nørholm gård, hasWritingAssociated, works of Knut Hamsun]
-
A.
hasWritingType
Indicates that one entity is associated with, or characterized by, a particular type or form of writing.
-
B.
hasWrittenFor
Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
-
C.
isWritten
Indicates that a text, document, or content has been created or recorded in written form by an agent.
-
D.
hasWrittenRecordsIn
Indicates that an entity has produced or maintains written records in a specified medium, format, or location.
-
E.
hasWritingHistory
Indicates that an entity has a recorded history or log of its writing-related actions, changes, or authored content over time.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b9180bf48190a6c3656ef0530463 |
completed | April 29, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:09 p.m.