Triple
T10374144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convention of Moss |
E244458
|
entity |
| Predicate | effectOnNorway |
P93645
|
FINISHED |
| Object | maintained separate Norwegian parliament (Storting) |
—
|
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: maintained separate Norwegian parliament (Storting) | Statement: [Convention of Moss, effectOnNorway, maintained separate Norwegian parliament (Storting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnNorway Context triple: [Convention of Moss, effectOnNorway, maintained separate Norwegian parliament (Storting)]
-
A.
effectOnFrance
Indicates the impact, influence, or consequences that something has on France.
-
B.
effectOnUnitedStates
Indicates the impact, influence, or consequences that something has on the United States.
-
C.
resultEffectOnBrexit
Indicates the effect or impact that a particular result has on Brexit.
-
D.
effectOnAustria
Indicates the impact or influence that one entity, event, or action has on Austria.
-
E.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:02 p.m.