Triple
T30833849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altona, Holstein |
E785302
|
entity |
| Predicate | legalStatusUnderDenmark |
P196785
|
FINISHED |
| Object | royal town in the Duchy of Holstein |
—
|
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: royal town in the Duchy of Holstein | Statement: [Altona, Holstein, legalStatusUnderDenmark, royal town in the Duchy of Holstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUnderDenmark Context triple: [Altona, Holstein, legalStatusUnderDenmark, royal town in the Duchy of Holstein]
-
A.
legalStatusOfDenmark
Indicates the legal or political status that Denmark holds within a specified legal, international, or institutional framework.
-
B.
legalStatusAfter1995
Indicates the legal status or condition that applies to an entity starting from the year 1995 onward.
-
C.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
D.
legalStatusAccordingToUkraine
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of Ukraine.
-
E.
legalStatusInBelgium
Indicates the legal status or standing that an entity holds within the jurisdiction of Belgium.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
| PDg | Predicate description generation | batch_69fe68a385f48190b942700e3eddc9b6 |
completed | May 8, 2026, 10:50 p.m. |
Created at: April 29, 2026, 8:45 p.m.