Triple
T14930567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marble Palace (Potsdam) |
E372250
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Heiliger See |
E355969
|
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: Heiliger See | Statement: [Marble Palace (Potsdam), hasViewOf, Heiliger See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiliger See Context triple: [Marble Palace (Potsdam), hasViewOf, Heiliger See]
-
A.
Heiliger See
chosen
Heiliger See is a picturesque lake in Potsdam, Germany, known for its scenic setting amid historic palaces and gardens.
-
B.
Weißer See
Weißer See is a small urban lake and popular recreational spot located in Berlin's Weißensee district.
-
C.
Čertovo jezero
Čertovo jezero is a glacial lake in the Bohemian Forest of the Czech Republic, known for its scenic setting and associated folk legends.
-
D.
Lake Velence
Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
-
E.
Lake Van
Lake Van is the largest lake in Turkey, a saline endorheic lake renowned for its high altitude, unique ecosystem, and historical Armenian cultural sites along its shores.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd3fef481908e4d2ffdcfa87def |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:36 a.m.