Triple
T13113822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wandlitz |
E311040
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Liepnitzsee |
E1021578
|
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: Liepnitzsee | Statement: [Wandlitz, hasNotablePlace, Liepnitzsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liepnitzsee Context triple: [Wandlitz, hasNotablePlace, Liepnitzsee]
-
A.
Liepnitzsee
chosen
Liepnitzsee is a scenic, forest-surrounded lake in Brandenburg, Germany, popular for swimming, boating, and nature excursions.
-
B.
Schliersee
Schliersee is a picturesque lake and town in the Bavarian Alps of southern Germany, known for its scenic mountain setting and outdoor recreation.
-
C.
Schwielowsee
Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
-
D.
Lake Schwerin
Lake Schwerin is a large glacial lake in northern Germany’s Mecklenburg-Vorpommern region, known for its scenic shores, surrounding forests, and proximity to the city of Schwerin.
-
E.
Starnberger See
Starnberger See is a large, scenic lake in southern Germany known for its affluent lakeside communities, recreational activities, and historical associations with Bavarian royalty.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.