Triple
T624980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinickendorf |
E14596
|
entity |
| Predicate | containsPartOf |
P1393
|
FINISHED |
| Object | Lake Tegel shoreline |
E78856
|
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: Lake Tegel shoreline | Statement: [Reinickendorf, containsPartOf, Lake Tegel shoreline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Tegel shoreline Context triple: [Reinickendorf, containsPartOf, Lake Tegel shoreline]
-
A.
Lake Tegel
chosen
Lake Tegel is a large lake in the northwest of Berlin, Germany, known for its recreational areas, beaches, and surrounding forests.
-
B.
Turtle Pond
Turtle Pond is a small, tranquil body of water in New York City's Central Park known for its resident turtles and scenic views near Belvedere Castle.
-
C.
Alster
The Alster is a river and series of lakes in Hamburg, Germany, that form a central recreational and scenic landmark of the city.
-
D.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
-
E.
The Lake
The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e43002c81908e0c7dab29b75978 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4b64088190a033462dd923f5b2 |
completed | March 2, 2026, 10:54 a.m. |
Created at: March 1, 2026, 7:35 p.m.