Triple
T5066383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haabersti |
E114153
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Lake Harku |
E582196
|
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 Harku | Statement: [Haabersti, hasAttraction, Lake Harku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Harku Context triple: [Haabersti, hasAttraction, Lake Harku]
-
A.
Lake Harku
chosen
Lake Harku is a small lake in northern Estonia known for recreation and its proximity to the capital city, Tallinn.
-
B.
Astotin Lake
Astotin Lake is a scenic lake in central Alberta, Canada, known for its wildlife viewing, birdwatching, and recreational activities within Elk Island National Park.
-
C.
Tustumena Lake
Tustumena Lake is a large glacial lake on Alaska’s Kenai Peninsula, known for its remote wilderness setting, cold turquoise waters, and surrounding mountainous terrain.
-
D.
Hámori Lake
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.
-
E.
Siliserh Lake
Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749aceac8190817278266308fd64 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3777eac81908880498eaa6c1046 |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:38 p.m.