Triple
T18460472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaduz Castle |
E451017
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Vaduz city center |
—
|
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: Vaduz city center | Statement: [Vaduz Castle, near, Vaduz city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaduz city center Context triple: [Vaduz Castle, near, Vaduz city center]
-
A.
Vaduz
chosen
Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
-
B.
Ruggell
Ruggell is a northern Liechtenstein municipality known for its flat Rhine valley landscape and agricultural character.
-
C.
Chur
Chur is the oldest town in Switzerland and the capital of the canton of Graubünden, known for its historic old town and role as a gateway to the Alps.
-
D.
Landquart
Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
-
E.
Bregenz
Bregenz is an Austrian city on the eastern shore of Lake Constance, known for its lakeside setting, cultural festivals, and contemporary art and architecture.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7e65bc8190a824bce5b322c3de |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:33 a.m.