Triple
T2079454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Security Council Chamber |
E45204
|
entity |
| Predicate | designerNationality |
P35634
|
FINISHED |
| Object | Norwegian |
—
|
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: Norwegian | Statement: [Security Council Chamber, designerNationality, Norwegian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designerNationality Context triple: [Security Council Chamber, designerNationality, Norwegian]
-
A.
architectNationality
Indicates the country or national affiliation associated with an architect.
-
B.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
C.
designerOccupation
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
D.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
E.
brandNationality
Indicates that a brand is associated with or originates from a particular country or nationality.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba3307308190ab329fe3192b2e0f |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.