Triple
T15940480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Appenzell Ausserrhoden |
E386544
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Lutzenberg |
E264265
|
NE 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: Lutzenberg | Statement: [canton of Appenzell Ausserrhoden, hasMunicipality, Lutzenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutzenberg Context triple: [canton of Appenzell Ausserrhoden, hasMunicipality, Lutzenberg]
-
A.
Lutzenberg
chosen
Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
-
B.
Lietzenburg
Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
-
C.
Ernstthal
Ernstthal is a small town in Saxony, Germany, best known as the birthplace of the popular adventure novelist Karl May.
-
D.
Lunzenau
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
-
E.
Kellinghausen
Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5ba070c8190b6af6cb21bddd7f1 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.