Triple
T4710440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Rakshastal |
E104494
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Nayki
Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
|
E464843
|
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: Nayki | Statement: [Lake Rakshastal, hasIsland, Nayki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nayki Context triple: [Lake Rakshastal, hasIsland, Nayki]
-
A.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
-
B.
Muko
Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
-
C.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
D.
Kymi
Kymi is a coastal town on the eastern side of the Greek island of Euboea, known for its port, scenic views, and role as a regional commercial center.
-
E.
Karinska
Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
- 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: Nayki Triple: [Lake Rakshastal, hasIsland, Nayki]
Generated description
Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nayki Target entity description: Nayki is an island located within Lake Rakshastal in the Tibet Autonomous Region of China.
-
A.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
-
B.
Muko
Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
-
C.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
D.
Kymi
Kymi is a coastal town on the eastern side of the Greek island of Euboea, known for its port, scenic views, and role as a regional commercial center.
-
E.
Karinska
Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63ee712c81908da60aa0df58efe0 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1078784c81908e9a3fd0b168cadc |
completed | March 21, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69be11c41a7c81909f00d8301e224ec2 |
completed | March 21, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be12497a90819086176bf8a8111517 |
completed | March 21, 2026, 3:36 a.m. |
Created at: March 20, 2026, 1:17 p.m.