Triple
T20167547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Anhalt |
E491864
|
entity |
| Predicate | appliesToTerritory |
P647
|
FINISHED |
| Object | Anhalt |
—
|
NE NERFINISHED |
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: Anhalt | Statement: [Duke of Anhalt, appliesToTerritory, Anhalt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anhalt Context triple: [Duke of Anhalt, appliesToTerritory, Anhalt]
-
A.
Anhalt
chosen
Anhalt is a historical region in central Germany that once formed a duchy and later a state, now largely part of the federal state of Saxony-Anhalt.
-
B.
Sachse
Sachse is a suburban city in the Dallas–Fort Worth metropolitan area of northeastern Texas.
-
C.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
D.
North Hesse
North Hesse is a region in the northern part of the German state of Hesse, centered around the city of Kassel and known for its forests, hills, and cultural heritage.
-
E.
Nordhoff
Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.