Triple
T27119971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Denmark |
E686968
|
entity |
| Predicate | officeHolderTitleInDanish |
P187367
|
FINISHED |
| Object | statsminister |
—
|
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: statsminister | Statement: [Prime Minister of Denmark, officeHolderTitleInDanish, statsminister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleInDanish Context triple: [Prime Minister of Denmark, officeHolderTitleInDanish, statsminister]
-
A.
officeHolderTitleInNorwegian
Indicates the official title or designation of an office holder as expressed in the Norwegian language.
-
B.
officeHolderTitleInSwedish
Indicates the official title or designation of an office holder expressed in the Swedish language.
-
C.
officeHolderTitleInFinnish
Indicates the official title or designation of an office holder expressed in the Finnish language.
-
D.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
E.
officeHolderTitleInGerman
Indicates the official title or designation of an office holder expressed in the German language.
- 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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: April 27, 2026, 8:58 a.m.