Triple
T1970481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starnberg |
E42787
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object | Lake Starnberg |
E219462
|
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 Starnberg | Statement: [Starnberg, hasWaterBody, Lake Starnberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Starnberg Context triple: [Starnberg, hasWaterBody, Lake Starnberg]
-
A.
Lake Starnberg
chosen
Lake Starnberg is a large glacial lake in Bavaria, Germany, known for its scenic beauty, affluent lakeside communities, and popularity as a recreational destination near Munich.
-
B.
Tyresö-Flaten Lake
Tyresö-Flaten Lake is a natural lake in Tyresö Municipality, Sweden, known for its scenic surroundings and recreational opportunities such as swimming and outdoor activities.
-
C.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
D.
Lake Mälaren
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
E.
Långsjön Lake
Långsjön Lake is a scenic freshwater lake in Tyresö Municipality, Sweden, known for its natural surroundings and recreational opportunities such as swimming and fishing.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d2836c8190a35cb6d8e2dd4bdf |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae03211fe48190b70814bdd35e8a6b |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.