Triple
T21119689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maschsee shore promenades |
E520394
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Maschsee |
—
|
NE NERFINISHED |
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: Maschsee | Statement: [Maschsee shore promenades, locatedIn, Maschsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maschsee Context triple: [Maschsee shore promenades, locatedIn, Maschsee]
-
A.
Maschsee
chosen
Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
-
B.
Walchsee
Walchsee is a picturesque lake and village in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreational activities.
-
C.
Zermützelsee
Zermützelsee is a lake in the Ostprignitz-Ruppin district of Brandenburg, Germany, known for its natural surroundings and recreational opportunities.
-
D.
Mauensee
Mauensee is a small Swiss municipality in the canton of Lucerne, known for its scenic lake and rural surroundings.
-
E.
Küssnachtersee
Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72233a43481909535560514d388be |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:55 p.m.