Triple
T10093333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillafüred |
E215798
|
entity |
| Predicate | waterBody |
P1778
|
FINISHED |
| Object | Lake Hámori |
E232750
|
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 Hámori | Statement: [Lillafüred, waterBody, Lake Hámori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Hámori Context triple: [Lillafüred, waterBody, Lake Hámori]
-
A.
Hámori Lake
chosen
Hámori Lake is a scenic artificial lake in the Bükk Mountains of northeastern Hungary, popular for recreation and nature tourism near the city of Miskolc.
-
B.
Lake Harku
Lake Harku is a small lake in northern Estonia known for recreation and its proximity to the capital city, Tallinn.
-
C.
Siliserh Lake
Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
-
D.
Afdera Lake
Afdera Lake is a hypersaline lake in Ethiopia’s Afar Depression, known for its extreme heat, below-sea-level elevation, and surrounding salt mining activities.
-
E.
Lake Tiorati
Lake Tiorati is a popular recreational lake in New York’s Harriman State Park, known for swimming, boating, fishing, and surrounding hiking trails.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3174109988190b703bb5b7c89c5c2 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:01 p.m.