Triple
T22046270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurudongmar Lake |
E544769
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Lachen |
—
|
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: Lachen | Statement: [Gurudongmar Lake, nearbySettlement, Lachen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lachen Context triple: [Gurudongmar Lake, nearbySettlement, Lachen]
-
A.
Lachen
Lachen is a small district or locality within the Bavarian municipality of Dießen am Ammersee in Germany.
-
B.
Lachen
chosen
Lachen is a small town in the North Sikkim district of India, known as a gateway to high Himalayan regions and nearby scenic river valleys.
-
C.
Frümsel
Frümsel is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its steep limestone faces and panoramic views over Lake Walen.
-
D.
Heiteren
Heiteren is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
-
E.
Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282f4a448190bca55348c457a4bd |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.