Triple
T18460844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterland |
E451026
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Ruggell
Ruggell is a northern Liechtenstein municipality known for its flat Rhine valley landscape and agricultural character.
|
E1332727
|
NE FINISHED |
How this triple was built (4 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: Ruggell | Statement: [Unterland, containsMunicipality, Ruggell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruggell Context triple: [Unterland, containsMunicipality, Ruggell]
-
A.
Schaan
Schaan is a major municipality in Liechtenstein known as its principal urban and industrial center.
-
B.
Balzers
Balzers is a municipality in southern Liechtenstein known for its scenic Alpine setting and historic Gutenberg Castle.
-
C.
Uster
Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
-
D.
Schafhausen
Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
E.
Arnbruck
Arnbruck is a small municipality in the Bavarian Forest region of southeastern Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ruggell Triple: [Unterland, containsMunicipality, Ruggell]
Generated description
Ruggell is a northern Liechtenstein municipality known for its flat Rhine valley landscape and agricultural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruggell Target entity description: Ruggell is a northern Liechtenstein municipality known for its flat Rhine valley landscape and agricultural character.
-
A.
Schaan
Schaan is a major municipality in Liechtenstein known as its principal urban and industrial center.
-
B.
Balzers
Balzers is a municipality in southern Liechtenstein known for its scenic Alpine setting and historic Gutenberg Castle.
-
C.
Uster
Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
-
D.
Schafhausen
Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
E.
Arnbruck
Arnbruck is a small municipality in the Bavarian Forest region of southeastern Germany.
- F. None of above. chosen
Provenance (5 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7e65bc8190a824bce5b322c3de |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05036c7b8c8190a6baa54636f8e705 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05044722c88190bdeac36b602673e9 |
completed | May 13, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0504deb488819086f3146141b3fb45 |
completed | May 13, 2026, 11:10 p.m. |
Created at: April 10, 2026, 11:33 a.m.