Triple
T10372022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilijan |
E244405
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object | Parz Lake |
E1061083
|
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: Parz Lake | Statement: [Dilijan, hasNearbyLake, Parz Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parz Lake Context triple: [Dilijan, hasNearbyLake, Parz Lake]
-
A.
Parz Lake
chosen
Parz Lake is a small scenic forest lake in Armenia’s Dilijan region, popular for its tranquil natural setting and outdoor recreation.
-
B.
Dierkes Lake
Dierkes Lake is a popular recreation area near Twin Falls, Idaho, known for swimming, fishing, picnicking, and access to scenic trails and rock formations.
-
C.
Esrum Lake
Esrum Lake is one of Denmark’s largest and deepest lakes, known for its scenic natural surroundings and recreational opportunities in North Zealand.
-
D.
Merzbacher Lake
Merzbacher Lake is a glacial lake in the Tian Shan mountains of Kyrgyzstan, famous for its periodic outburst floods when its ice dam collapses.
-
E.
Sword Lake
Sword Lake is a scenic freshwater lake in the historic center of Hanoi, Vietnam, famed for its legends, temples, and role as a cultural symbol of the city.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97ed09c8190a3627aa7b5eea62f |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8bcbb34819088c21d79357eef8a |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 6, 2026, 12:01 p.m.