Triple
T10248534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Zubrowka |
E240281
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Nebelsbad (fictional city) |
E853735
|
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: Nebelsbad (fictional city) | Statement: [Republic of Zubrowka, hasCity, Nebelsbad (fictional city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebelsbad (fictional city) Context triple: [Republic of Zubrowka, hasCity, Nebelsbad (fictional city)]
-
A.
Nebelsbad (fictional city)
chosen
Nebelsbad is the fictional capital city of the Republic of Zubrowka in Wes Anderson’s film "The Grand Budapest Hotel," serving as the primary setting for much of the story.
-
B.
City of New Berlin
The City of New Berlin is a small incorporated municipality located within Bexar County, Texas.
-
C.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
D.
Lutz (fictional city)
Lutz is a fictional city in the invented Eastern European nation of Zubrowka, featured in Wes Anderson’s film "The Grand Budapest Hotel."
-
E.
Goldstadt
Goldstadt is a nickname for the German city of Pforzheim, historically renowned for its jewelry and watchmaking industry.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cbd67648190ba7faebd12d96ca9 |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:27 a.m.