Triple
T12690302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Rila Lakes |
E303185
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Trilistnika
Trilistnika is one of Bulgaria’s Seven Rila Lakes, a high-altitude glacial lake in the Rila Mountains known for its distinctive clover-like shape.
|
E998051
|
NE FINISHED |
How this triple was built (4 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: Trilistnika | Statement: [Seven Rila Lakes, hasLake, Trilistnika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trilistnika Context triple: [Seven Rila Lakes, hasLake, Trilistnika]
-
A.
Troistín
Troistín is the Irish-language name for Trostan, the highest mountain in County Antrim, Northern Ireland.
-
B.
Trizina
Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
-
C.
Tresinaro
Tresinaro is a stream in northern Italy that serves as a tributary of the Secchia River in the Emilia-Romagna region.
-
D.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
-
E.
Triund
Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trilistnika Triple: [Seven Rila Lakes, hasLake, Trilistnika]
Generated description
Trilistnika is one of Bulgaria’s Seven Rila Lakes, a high-altitude glacial lake in the Rila Mountains known for its distinctive clover-like shape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trilistnika Target entity description: Trilistnika is one of Bulgaria’s Seven Rila Lakes, a high-altitude glacial lake in the Rila Mountains known for its distinctive clover-like shape.
-
A.
Troistín
Troistín is the Irish-language name for Trostan, the highest mountain in County Antrim, Northern Ireland.
-
B.
Trizina
Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
-
C.
Tresinaro
Tresinaro is a stream in northern Italy that serves as a tributary of the Secchia River in the Emilia-Romagna region.
-
D.
Trenyce
Trenyce is an American singer and actress best known for gaining national recognition as a standout finalist on the second season of American Idol.
-
E.
Triund
Triund is a popular hill-station and trekking destination in the Dhauladhar range of Himachal Pradesh, India, known for its panoramic views of the Himalayas.
- F. None of above. chosen
Provenance (5 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671aacfa8819088fd113474638238 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6751f79148190a1735abf489fd106 |
completed | May 2, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675d17c9c8190853fe3001944a7d3 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:22 p.m.