Triple
T5289194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HOD |
E119699
|
entity |
| Predicate | usesAbbreviationIn |
P63320
|
FINISHED |
| Object | official Norwegian government documents |
—
|
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: official Norwegian government documents | Statement: [HOD, usesAbbreviationIn, official Norwegian government documents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAbbreviationIn Context triple: [HOD, usesAbbreviationIn, official Norwegian government documents]
-
A.
isUsedInAbbreviation
Indicates that one entity functions as a shortened or abbreviated form of another entity.
-
B.
usesAbbreviationInStatistics
Indicates that one entity employs an abbreviated form of another entity specifically within statistical contexts or analyses.
-
C.
isAbbreviation
Indicates that one term is a shortened or abbreviated form of another term.
-
D.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
E.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd86800630819096dad2eb2248c372 |
completed | March 20, 2026, 5:40 p.m. |
Created at: March 20, 2026, 1:52 p.m.