Triple
T1065419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Norwegian Order of Merit |
E23198
|
entity |
| Predicate | firstInductions |
P24265
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [Royal Norwegian Order of Merit, firstInductions, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInductions Context triple: [Royal Norwegian Order of Merit, firstInductions, 1985]
-
A.
inductedInto
Indicates that an entity has been formally admitted or entered into a group, organization, hall of fame, or similar body, typically as an honor or official recognition.
-
B.
hallOfFameInductionYear
Indicates the year in which an entity was formally inducted into a hall of fame.
-
C.
teamHallOfFameInduction
Indicates that an individual has been formally inducted into a specific team’s Hall of Fame.
-
D.
hasNumberOfInductees
Indicates the specific count of inductees associated with a given entity or context.
-
E.
hallOfFameInductionMethod
Indicates the method or process by which an entity is inducted into a hall of fame.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b9df0a308190a0d87dcd8afe58bc |
completed | March 1, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:42 p.m.