Triple
T20152089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capuchin Church |
E491456
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Neuer Markt |
—
|
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: Neuer Markt | Statement: [Capuchin Church, locatedNear, Neuer Markt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuer Markt Context triple: [Capuchin Church, locatedNear, Neuer Markt]
-
A.
Neuer Markt
chosen
Neuer Markt is a historic square in central Vienna, Austria, known for its baroque architecture, notable fountains, and surrounding churches and palaces.
-
B.
Wiener Markt
Wiener Markt is a traditional open-air market in Munich’s Haidhausen district, known for its fresh produce, regional specialties, and neighborhood atmosphere.
-
C.
Korenmarkt
Korenmarkt is a central square in Ghent, Belgium, known as a major social and cultural hub that hosts key events and gatherings.
-
D.
Königsberg Stock Exchange
The Königsberg Stock Exchange was a prominent 18th-century commercial and financial building in Königsberg, Prussia, known for its neoclassical architecture.
-
E.
Mannheim stock exchange
The Mannheim stock exchange was a regional securities market in Mannheim, Germany, historically significant as an early trading venue for industrial companies such as Benz & Cie.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dc34e081908e42e4c1bde26170 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:33 p.m.