Triple
T13410907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauptmarkt (Nuremberg) |
E320082
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Schöner Brunnen |
E83434
|
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: Schöner Brunnen | Statement: [Hauptmarkt (Nuremberg), knownFor, Schöner Brunnen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schöner Brunnen Context triple: [Hauptmarkt (Nuremberg), knownFor, Schöner Brunnen]
-
A.
Schöner Brunnen
chosen
Schöner Brunnen is an ornate 14th-century Gothic fountain in Nuremberg’s main market square, famed for its intricate sculptures and colorful design.
-
B.
Schängelbrunnen
Schängelbrunnen is a famous bronze fountain in Koblenz, Germany, depicting a mischievous boy and symbolizing the city's local identity and dialect.
-
C.
Gerechtigkeitsbrunnen
Gerechtigkeitsbrunnen is a historic fountain in Frankfurt’s Römerberg square, notable for its statue symbolizing justice and its role as a central landmark in the old town.
-
D.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
E.
Brunnen
Brunnen is a Swiss lakeside village on Lake Lucerne in the canton of Schwyz, known for its scenic alpine setting and role as a popular tourist destination.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307ccff08190aa4037aa5a48f7d0 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:35 p.m.