Triple
T4938362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaduz |
E110866
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Triesenberg
Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
|
E503251
|
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: Triesenberg | Statement: [Vaduz, borderedBy, Triesenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triesenberg Context triple: [Vaduz, borderedBy, Triesenberg]
-
A.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
B.
Kronsberg
Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
-
E.
Ziegenberg
Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
- 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: Triesenberg Triple: [Vaduz, borderedBy, Triesenberg]
Generated description
Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triesenberg Target entity description: Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
-
A.
Johannisberg
Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
-
B.
Kronsberg
Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Grafenwerth
Grafenwerth is a Rhine River island in Germany known as a recreational area with parks, swimming facilities, and scenic views near the town of Bad Honnef.
-
E.
Ziegenberg
Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef8be078819094cbf65b0fcdf8dd |
completed | March 21, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69bef00f10d481908ba19105b6bc07d1 |
completed | March 21, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef07730488190825c4e29910fc707 |
completed | March 21, 2026, 7:24 p.m. |
Created at: March 20, 2026, 1:31 p.m.